From a94db03394d02742f40ae751effcf4b8783779a8 Mon Sep 17 00:00:00 2001
From: rohan-konanki <105895943+rohan-konanki@users.noreply.github.com>
Date: Wed, 3 Sep 2025 22:43:47 -0400
Subject: [PATCH 1/5] Create README.md

---
 submissions/Submission: Rohan Konanki/README.md | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 submissions/Submission: Rohan Konanki/README.md

diff --git a/submissions/Submission: Rohan Konanki/README.md b/submissions/Submission: Rohan Konanki/README.md
new file mode 100644
index 0000000..48cdce8
--- /dev/null
+++ b/submissions/Submission: Rohan Konanki/README.md	
@@ -0,0 +1 @@
+placeholder

From ba291a3a46c6a5fa6bd7ee9acd4f194c28c5d3a7 Mon Sep 17 00:00:00 2001
From: rohan-konanki <105895943+rohan-konanki@users.noreply.github.com>
Date: Wed, 3 Sep 2025 23:10:19 -0400
Subject: [PATCH 2/5] Add files via upload

---
 .../Research_Application.ipynb                | 679 ++++++++++++++++++
 1 file changed, 679 insertions(+)
 create mode 100644 submissions/Submission: Rohan Konanki/Research_Application.ipynb

diff --git a/submissions/Submission: Rohan Konanki/Research_Application.ipynb b/submissions/Submission: Rohan Konanki/Research_Application.ipynb
new file mode 100644
index 0000000..4067216
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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Qe_spw0enTcU",
+        "outputId": "d7aa0dbc-1692-4732-e38d-3cdaea81d639"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages (4.0.0)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from datasets) (3.19.1)\n",
+            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (2.0.2)\n",
+            "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (18.1.0)\n",
+            "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.3.8)\n",
+            "Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from datasets) (2.2.2)\n",
+            "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.12/dist-packages (from datasets) (2.32.4)\n",
+            "Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.12/dist-packages (from datasets) (4.67.1)\n",
+            "Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets) (3.5.0)\n",
+            "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.70.16)\n",
+            "Requirement already satisfied: fsspec<=2025.3.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2025.3.0)\n",
+            "Requirement already satisfied: huggingface-hub>=0.24.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.34.4)\n",
+            "Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from datasets) (25.0)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from datasets) (6.0.2)\n",
+            "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (3.12.15)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.24.0->datasets) (4.14.1)\n",
+            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.24.0->datasets) (1.1.8)\n",
+            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (3.4.3)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (3.10)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (2.5.0)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (2025.8.3)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2.9.0.post0)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
+            "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2.6.1)\n",
+            "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.4.0)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (25.3.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.7.0)\n",
+            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.6.4)\n",
+            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.3.2)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.20.1)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n",
+            "Collecting bs4\n",
+            "  Downloading bs4-0.0.2-py2.py3-none-any.whl.metadata (411 bytes)\n",
+            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.12/dist-packages (from bs4) (4.13.5)\n",
+            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (2.7)\n",
+            "Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (4.14.1)\n",
+            "Downloading bs4-0.0.2-py2.py3-none-any.whl (1.2 kB)\n",
+            "Installing collected packages: bs4\n",
+            "Successfully installed bs4-0.0.2\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install datasets\n",
+        "!pip install bs4"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "from datasets import load_dataset\n",
+        "ds = load_dataset(\"GonzaloA/fake_news\", split=\"train\")\n",
+        "df = ds.to_pandas()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "cYbinwQwoNQp",
+        "outputId": "d6c1f063-d559-4041-d3d5-841b2012dfa8"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Repo card metadata block was not found. Setting CardData to empty.\n",
+            "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.model_selection import train_test_split\n",
+        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+        "from sklearn.linear_model import LogisticRegression\n",
+        "from sklearn.metrics import accuracy_score, classification_report\n",
+        "\n",
+        "df = df.dropna(subset=['text', 'label'])\n",
+        "X = df['text']\n",
+        "y = df['label']\n",
+        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
+      ],
+      "metadata": {
+        "id": "4s7DM9wrpI0R"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "tfidf_vectorizer = TfidfVectorizer(max_features=2500, stop_words='english')\n",
+        "X_train_tfidf = tfidf_vectorizer.fit_transform(X_train)\n",
+        "X_test_tfidf = tfidf_vectorizer.transform(X_test)"
+      ],
+      "metadata": {
+        "id": "326OYLglp20I"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model = LogisticRegression(max_iter=1000, solver='liblinear')\n",
+        "model.fit(X_train_tfidf, y_train)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        },
+        "id": "2KAgTdG7qeI5",
+        "outputId": "c0807c1d-2900-4630-de17-972049dcb73c"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "LogisticRegression(max_iter=1000, solver='liblinear')"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-1 {\n",
+              "  /* Definition of color scheme common for light and dark mode */\n",
+              "  --sklearn-color-text: #000;\n",
+              "  --sklearn-color-text-muted: #666;\n",
+              "  --sklearn-color-line: gray;\n",
+              "  /* Definition of color scheme for unfitted estimators */\n",
+              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+              "  --sklearn-color-unfitted-level-3: chocolate;\n",
+              "  /* Definition of color scheme for fitted estimators */\n",
+              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+              "\n",
+              "  /* Specific color for light theme */\n",
+              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+              "  --sklearn-color-icon: #696969;\n",
+              "\n",
+              "  @media (prefers-color-scheme: dark) {\n",
+              "    /* Redefinition of color scheme for dark theme */\n",
+              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+              "    --sklearn-color-icon: #878787;\n",
+              "  }\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 pre {\n",
+              "  padding: 0;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-hidden--visually {\n",
+              "  border: 0;\n",
+              "  clip: rect(1px 1px 1px 1px);\n",
+              "  clip: rect(1px, 1px, 1px, 1px);\n",
+              "  height: 1px;\n",
+              "  margin: -1px;\n",
+              "  overflow: hidden;\n",
+              "  padding: 0;\n",
+              "  position: absolute;\n",
+              "  width: 1px;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+              "  border: 1px dashed var(--sklearn-color-line);\n",
+              "  margin: 0 0.4em 0.5em 0.4em;\n",
+              "  box-sizing: border-box;\n",
+              "  padding-bottom: 0.4em;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-container {\n",
+              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+              "     so we also need the `!important` here to be able to override the\n",
+              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+              "  display: inline-block !important;\n",
+              "  position: relative;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              "div.sk-parallel-item,\n",
+              "div.sk-serial,\n",
+              "div.sk-item {\n",
+              "  /* draw centered vertical line to link estimators */\n",
+              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+              "  background-size: 2px 100%;\n",
+              "  background-repeat: no-repeat;\n",
+              "  background-position: center center;\n",
+              "}\n",
+              "\n",
+              "/* Parallel-specific style estimator block */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item::after {\n",
+              "  content: \"\";\n",
+              "  width: 100%;\n",
+              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+              "  flex-grow: 1;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel {\n",
+              "  display: flex;\n",
+              "  align-items: stretch;\n",
+              "  justify-content: center;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  position: relative;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item {\n",
+              "  display: flex;\n",
+              "  flex-direction: column;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+              "  align-self: flex-end;\n",
+              "  width: 50%;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+              "  align-self: flex-start;\n",
+              "  width: 50%;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+              "  width: 0;\n",
+              "}\n",
+              "\n",
+              "/* Serial-specific style estimator block */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-serial {\n",
+              "  display: flex;\n",
+              "  flex-direction: column;\n",
+              "  align-items: center;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  padding-right: 1em;\n",
+              "  padding-left: 1em;\n",
+              "}\n",
+              "\n",
+              "\n",
+              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+              "clickable and can be expanded/collapsed.\n",
+              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+              "*/\n",
+              "\n",
+              "/* Pipeline and ColumnTransformer style (default) */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable {\n",
+              "  /* Default theme specific background. It is overwritten whether we have a\n",
+              "  specific estimator or a Pipeline/ColumnTransformer */\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "}\n",
+              "\n",
+              "/* Toggleable label */\n",
+              "#sk-container-id-1 label.sk-toggleable__label {\n",
+              "  cursor: pointer;\n",
+              "  display: flex;\n",
+              "  width: 100%;\n",
+              "  margin-bottom: 0;\n",
+              "  padding: 0.5em;\n",
+              "  box-sizing: border-box;\n",
+              "  text-align: center;\n",
+              "  align-items: start;\n",
+              "  justify-content: space-between;\n",
+              "  gap: 0.5em;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
+              "  font-size: 0.6rem;\n",
+              "  font-weight: lighter;\n",
+              "  color: var(--sklearn-color-text-muted);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+              "  /* Arrow on the left of the label */\n",
+              "  content: \"▸\";\n",
+              "  float: left;\n",
+              "  margin-right: 0.25em;\n",
+              "  color: var(--sklearn-color-icon);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "}\n",
+              "\n",
+              "/* Toggleable content - dropdown */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content {\n",
+              "  max-height: 0;\n",
+              "  max-width: 0;\n",
+              "  overflow: hidden;\n",
+              "  text-align: left;\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+              "  margin: 0.2em;\n",
+              "  border-radius: 0.25em;\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+              "  /* Expand drop-down */\n",
+              "  max-height: 200px;\n",
+              "  max-width: 100%;\n",
+              "  overflow: auto;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+              "  content: \"▾\";\n",
+              "}\n",
+              "\n",
+              "/* Pipeline/ColumnTransformer-specific style */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Estimator-specific style */\n",
+              "\n",
+              "/* Colorize estimator box */\n",
+              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+              "#sk-container-id-1 div.sk-label label {\n",
+              "  /* The background is the default theme color */\n",
+              "  color: var(--sklearn-color-text-on-default-background);\n",
+              "}\n",
+              "\n",
+              "/* On hover, darken the color of the background */\n",
+              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Label box, darken color on hover, fitted */\n",
+              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Estimator label */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label label {\n",
+              "  font-family: monospace;\n",
+              "  font-weight: bold;\n",
+              "  display: inline-block;\n",
+              "  line-height: 1.2em;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label-container {\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              "/* Estimator-specific */\n",
+              "#sk-container-id-1 div.sk-estimator {\n",
+              "  font-family: monospace;\n",
+              "  border: 1px dotted var(--sklearn-color-border-box);\n",
+              "  border-radius: 0.25em;\n",
+              "  box-sizing: border-box;\n",
+              "  margin-bottom: 0.5em;\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "/* on hover */\n",
+              "#sk-container-id-1 div.sk-estimator:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+              "\n",
+              "/* Common style for \"i\" and \"?\" */\n",
+              "\n",
+              ".sk-estimator-doc-link,\n",
+              "a:link.sk-estimator-doc-link,\n",
+              "a:visited.sk-estimator-doc-link {\n",
+              "  float: right;\n",
+              "  font-size: smaller;\n",
+              "  line-height: 1em;\n",
+              "  font-family: monospace;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  border-radius: 1em;\n",
+              "  height: 1em;\n",
+              "  width: 1em;\n",
+              "  text-decoration: none !important;\n",
+              "  margin-left: 0.5em;\n",
+              "  text-align: center;\n",
+              "  /* unfitted */\n",
+              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-unfitted-level-1);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link.fitted,\n",
+              "a:link.sk-estimator-doc-link.fitted,\n",
+              "a:visited.sk-estimator-doc-link.fitted {\n",
+              "  /* fitted */\n",
+              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-fitted-level-1);\n",
+              "}\n",
+              "\n",
+              "/* On hover */\n",
+              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+              ".sk-estimator-doc-link:hover,\n",
+              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+              ".sk-estimator-doc-link:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+              ".sk-estimator-doc-link.fitted:hover,\n",
+              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+              ".sk-estimator-doc-link.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "/* Span, style for the box shown on hovering the info icon */\n",
+              ".sk-estimator-doc-link span {\n",
+              "  display: none;\n",
+              "  z-index: 9999;\n",
+              "  position: relative;\n",
+              "  font-weight: normal;\n",
+              "  right: .2ex;\n",
+              "  padding: .5ex;\n",
+              "  margin: .5ex;\n",
+              "  width: min-content;\n",
+              "  min-width: 20ex;\n",
+              "  max-width: 50ex;\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  box-shadow: 2pt 2pt 4pt #999;\n",
+              "  /* unfitted */\n",
+              "  background: var(--sklearn-color-unfitted-level-0);\n",
+              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link.fitted span {\n",
+              "  /* fitted */\n",
+              "  background: var(--sklearn-color-fitted-level-0);\n",
+              "  border: var(--sklearn-color-fitted-level-3);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link:hover span {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link {\n",
+              "  float: right;\n",
+              "  font-size: 1rem;\n",
+              "  line-height: 1em;\n",
+              "  font-family: monospace;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  border-radius: 1rem;\n",
+              "  height: 1rem;\n",
+              "  width: 1rem;\n",
+              "  text-decoration: none;\n",
+              "  /* unfitted */\n",
+              "  color: var(--sklearn-color-unfitted-level-1);\n",
+              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+              "  /* fitted */\n",
+              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-fitted-level-1);\n",
+              "}\n",
+              "\n",
+              "/* On hover */\n",
+              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-3);\n",
+              "}\n",
+              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=1000, solver=&#x27;liblinear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(max_iter=1000, solver=&#x27;liblinear&#x27;)</pre></div> </div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred = model.predict(X_test_tfidf)\n",
+        "accuracy = accuracy_score(y_test, y_pred)\n",
+        "report = classification_report(y_test, y_pred, target_names=['True', 'Fake'])\n",
+        "\n",
+        "print(\"\\n--- Model Evaluation ---\")\n",
+        "print(f\"Accuracy: {accuracy:.4f}\")\n",
+        "print(\"Classification Report:\")\n",
+        "print(report)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Y7wX0ZM6so36",
+        "outputId": "c55882c6-612a-40d1-a0cf-b5dddedfcab7"
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\n",
+            "--- Model Evaluation ---\n",
+            "Accuracy: 0.9669\n",
+            "Classification Report:\n",
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "        True       0.96      0.96      0.96      2248\n",
+            "        Fake       0.97      0.97      0.97      2623\n",
+            "\n",
+            "    accuracy                           0.97      4871\n",
+            "   macro avg       0.97      0.97      0.97      4871\n",
+            "weighted avg       0.97      0.97      0.97      4871\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import requests\n",
+        "from bs4 import BeautifulSoup\n",
+        "def predict_article(url):\n",
+        "    try:\n",
+        "        response = requests.get(url, timeout=10)\n",
+        "        response.raise_for_status()\n",
+        "        soup = BeautifulSoup(response.text, 'html.parser')\n",
+        "        text = soup.get_text()\n",
+        "        text_vectorized = tfidf_vectorizer.transform([text])\n",
+        "        prediction = model.predict(text_vectorized)\n",
+        "        return \"True\" if prediction[0] == 1 else \"Fake\"\n",
+        "    except requests.exceptions.RequestException as e:\n",
+        "        return f\"Error: Could not retrieve article from URL. {e}\"\n",
+        "    except Exception as e:\n",
+        "        return f\"Error: An unexpected error occurred. {e}\""
+      ],
+      "metadata": {
+        "id": "xAT82LcUquTg"
+      },
+      "execution_count": 12,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "url_to_check = input(\"Please enter a URL to check: \")\n",
+        "prediction = predict_article(url_to_check)\n",
+        "print(f\"The article at {url_to_check} is predicted to be {prediction}.\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "2fMCoL8xrbIr",
+        "outputId": "ff3c09ae-b257-497d-f9ef-91ba1739aad2"
+      },
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Please enter a URL to check: https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706\n",
+            "The article at https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706 is predicted to be Fake.\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From 4ba682988ec65df33b04ce423ae9eac45d0172e8 Mon Sep 17 00:00:00 2001
From: rohan-konanki <105895943+rohan-konanki@users.noreply.github.com>
Date: Wed, 3 Sep 2025 23:25:27 -0400
Subject: [PATCH 3/5] Update README.md

---
 submissions/Submission: Rohan Konanki/README.md | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/submissions/Submission: Rohan Konanki/README.md b/submissions/Submission: Rohan Konanki/README.md
index 48cdce8..e634063 100644
--- a/submissions/Submission: Rohan Konanki/README.md	
+++ b/submissions/Submission: Rohan Konanki/README.md	
@@ -1 +1,10 @@
-placeholder
+This application works as a simple classifier between fake news and real news, trained on a news dataset from Hugging Face (using the distillbert base model).
+Given a URL input from the user, it parses the contents at the URL and predicts whether the news is real or fake based on the context in the dataset.
+The model is not entirely acccurate for newer articles, since it lacks the grounding data to determine the truth of the information.
+The libraries required are as follows:
+- datasets
+- transformers
+- bs4 (URL text parser)
+- scikit-learn
+- pandas
+- requests

From 53b06997cc7a00d71c8a4e1fd2a474bef65034d1 Mon Sep 17 00:00:00 2001
From: rohan-konanki <105895943+rohan-konanki@users.noreply.github.com>
Date: Wed, 3 Sep 2025 23:26:04 -0400
Subject: [PATCH 4/5] Delete submissions/Submission: Rohan
 Konanki/Research_Application.ipynb

---
 .../Research_Application.ipynb                | 679 ------------------
 1 file changed, 679 deletions(-)
 delete mode 100644 submissions/Submission: Rohan Konanki/Research_Application.ipynb

diff --git a/submissions/Submission: Rohan Konanki/Research_Application.ipynb b/submissions/Submission: Rohan Konanki/Research_Application.ipynb
deleted file mode 100644
index 4067216..0000000
--- a/submissions/Submission: Rohan Konanki/Research_Application.ipynb	
+++ /dev/null
@@ -1,679 +0,0 @@
-{
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": 11,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Qe_spw0enTcU",
-        "outputId": "d7aa0dbc-1692-4732-e38d-3cdaea81d639"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages (4.0.0)\n",
-            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from datasets) (3.19.1)\n",
-            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (2.0.2)\n",
-            "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (18.1.0)\n",
-            "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.3.8)\n",
-            "Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from datasets) (2.2.2)\n",
-            "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.12/dist-packages (from datasets) (2.32.4)\n",
-            "Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.12/dist-packages (from datasets) (4.67.1)\n",
-            "Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets) (3.5.0)\n",
-            "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.70.16)\n",
-            "Requirement already satisfied: fsspec<=2025.3.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2025.3.0)\n",
-            "Requirement already satisfied: huggingface-hub>=0.24.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.34.4)\n",
-            "Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from datasets) (25.0)\n",
-            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from datasets) (6.0.2)\n",
-            "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (3.12.15)\n",
-            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.24.0->datasets) (4.14.1)\n",
-            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.24.0->datasets) (1.1.8)\n",
-            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (3.4.3)\n",
-            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (3.10)\n",
-            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (2.5.0)\n",
-            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets) (2025.8.3)\n",
-            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2.9.0.post0)\n",
-            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
-            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
-            "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2.6.1)\n",
-            "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.4.0)\n",
-            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (25.3.0)\n",
-            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.7.0)\n",
-            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.6.4)\n",
-            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.3.2)\n",
-            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.20.1)\n",
-            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n",
-            "Collecting bs4\n",
-            "  Downloading bs4-0.0.2-py2.py3-none-any.whl.metadata (411 bytes)\n",
-            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.12/dist-packages (from bs4) (4.13.5)\n",
-            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (2.7)\n",
-            "Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (4.14.1)\n",
-            "Downloading bs4-0.0.2-py2.py3-none-any.whl (1.2 kB)\n",
-            "Installing collected packages: bs4\n",
-            "Successfully installed bs4-0.0.2\n"
-          ]
-        }
-      ],
-      "source": [
-        "!pip install datasets\n",
-        "!pip install bs4"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import pandas as pd\n",
-        "from datasets import load_dataset\n",
-        "ds = load_dataset(\"GonzaloA/fake_news\", split=\"train\")\n",
-        "df = ds.to_pandas()\n"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "cYbinwQwoNQp",
-        "outputId": "d6c1f063-d559-4041-d3d5-841b2012dfa8"
-      },
-      "execution_count": 5,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "Repo card metadata block was not found. Setting CardData to empty.\n",
-            "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "from sklearn.model_selection import train_test_split\n",
-        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
-        "from sklearn.linear_model import LogisticRegression\n",
-        "from sklearn.metrics import accuracy_score, classification_report\n",
-        "\n",
-        "df = df.dropna(subset=['text', 'label'])\n",
-        "X = df['text']\n",
-        "y = df['label']\n",
-        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
-      ],
-      "metadata": {
-        "id": "4s7DM9wrpI0R"
-      },
-      "execution_count": 7,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "tfidf_vectorizer = TfidfVectorizer(max_features=2500, stop_words='english')\n",
-        "X_train_tfidf = tfidf_vectorizer.fit_transform(X_train)\n",
-        "X_test_tfidf = tfidf_vectorizer.transform(X_test)"
-      ],
-      "metadata": {
-        "id": "326OYLglp20I"
-      },
-      "execution_count": 8,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "model = LogisticRegression(max_iter=1000, solver='liblinear')\n",
-        "model.fit(X_train_tfidf, y_train)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 80
-        },
-        "id": "2KAgTdG7qeI5",
-        "outputId": "c0807c1d-2900-4630-de17-972049dcb73c"
-      },
-      "execution_count": 9,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "LogisticRegression(max_iter=1000, solver='liblinear')"
-            ],
-            "text/html": [
-              "<style>#sk-container-id-1 {\n",
-              "  /* Definition of color scheme common for light and dark mode */\n",
-              "  --sklearn-color-text: #000;\n",
-              "  --sklearn-color-text-muted: #666;\n",
-              "  --sklearn-color-line: gray;\n",
-              "  /* Definition of color scheme for unfitted estimators */\n",
-              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
-              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
-              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
-              "  --sklearn-color-unfitted-level-3: chocolate;\n",
-              "  /* Definition of color scheme for fitted estimators */\n",
-              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
-              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
-              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
-              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
-              "\n",
-              "  /* Specific color for light theme */\n",
-              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
-              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
-              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
-              "  --sklearn-color-icon: #696969;\n",
-              "\n",
-              "  @media (prefers-color-scheme: dark) {\n",
-              "    /* Redefinition of color scheme for dark theme */\n",
-              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
-              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
-              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
-              "    --sklearn-color-icon: #878787;\n",
-              "  }\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 {\n",
-              "  color: var(--sklearn-color-text);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 pre {\n",
-              "  padding: 0;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 input.sk-hidden--visually {\n",
-              "  border: 0;\n",
-              "  clip: rect(1px 1px 1px 1px);\n",
-              "  clip: rect(1px, 1px, 1px, 1px);\n",
-              "  height: 1px;\n",
-              "  margin: -1px;\n",
-              "  overflow: hidden;\n",
-              "  padding: 0;\n",
-              "  position: absolute;\n",
-              "  width: 1px;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
-              "  border: 1px dashed var(--sklearn-color-line);\n",
-              "  margin: 0 0.4em 0.5em 0.4em;\n",
-              "  box-sizing: border-box;\n",
-              "  padding-bottom: 0.4em;\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-container {\n",
-              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
-              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
-              "     so we also need the `!important` here to be able to override the\n",
-              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
-              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
-              "  display: inline-block !important;\n",
-              "  position: relative;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
-              "  display: none;\n",
-              "}\n",
-              "\n",
-              "div.sk-parallel-item,\n",
-              "div.sk-serial,\n",
-              "div.sk-item {\n",
-              "  /* draw centered vertical line to link estimators */\n",
-              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
-              "  background-size: 2px 100%;\n",
-              "  background-repeat: no-repeat;\n",
-              "  background-position: center center;\n",
-              "}\n",
-              "\n",
-              "/* Parallel-specific style estimator block */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel-item::after {\n",
-              "  content: \"\";\n",
-              "  width: 100%;\n",
-              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
-              "  flex-grow: 1;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel {\n",
-              "  display: flex;\n",
-              "  align-items: stretch;\n",
-              "  justify-content: center;\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "  position: relative;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel-item {\n",
-              "  display: flex;\n",
-              "  flex-direction: column;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
-              "  align-self: flex-end;\n",
-              "  width: 50%;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
-              "  align-self: flex-start;\n",
-              "  width: 50%;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
-              "  width: 0;\n",
-              "}\n",
-              "\n",
-              "/* Serial-specific style estimator block */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-serial {\n",
-              "  display: flex;\n",
-              "  flex-direction: column;\n",
-              "  align-items: center;\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "  padding-right: 1em;\n",
-              "  padding-left: 1em;\n",
-              "}\n",
-              "\n",
-              "\n",
-              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
-              "clickable and can be expanded/collapsed.\n",
-              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
-              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
-              "*/\n",
-              "\n",
-              "/* Pipeline and ColumnTransformer style (default) */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-toggleable {\n",
-              "  /* Default theme specific background. It is overwritten whether we have a\n",
-              "  specific estimator or a Pipeline/ColumnTransformer */\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "}\n",
-              "\n",
-              "/* Toggleable label */\n",
-              "#sk-container-id-1 label.sk-toggleable__label {\n",
-              "  cursor: pointer;\n",
-              "  display: flex;\n",
-              "  width: 100%;\n",
-              "  margin-bottom: 0;\n",
-              "  padding: 0.5em;\n",
-              "  box-sizing: border-box;\n",
-              "  text-align: center;\n",
-              "  align-items: start;\n",
-              "  justify-content: space-between;\n",
-              "  gap: 0.5em;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
-              "  font-size: 0.6rem;\n",
-              "  font-weight: lighter;\n",
-              "  color: var(--sklearn-color-text-muted);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
-              "  /* Arrow on the left of the label */\n",
-              "  content: \"▸\";\n",
-              "  float: left;\n",
-              "  margin-right: 0.25em;\n",
-              "  color: var(--sklearn-color-icon);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
-              "  color: var(--sklearn-color-text);\n",
-              "}\n",
-              "\n",
-              "/* Toggleable content - dropdown */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-toggleable__content {\n",
-              "  max-height: 0;\n",
-              "  max-width: 0;\n",
-              "  overflow: hidden;\n",
-              "  text-align: left;\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-0);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
-              "  margin: 0.2em;\n",
-              "  border-radius: 0.25em;\n",
-              "  color: var(--sklearn-color-text);\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-0);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
-              "  /* Expand drop-down */\n",
-              "  max-height: 200px;\n",
-              "  max-width: 100%;\n",
-              "  overflow: auto;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
-              "  content: \"▾\";\n",
-              "}\n",
-              "\n",
-              "/* Pipeline/ColumnTransformer-specific style */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-              "  color: var(--sklearn-color-text);\n",
-              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-              "  background-color: var(--sklearn-color-fitted-level-2);\n",
-              "}\n",
-              "\n",
-              "/* Estimator-specific style */\n",
-              "\n",
-              "/* Colorize estimator box */\n",
-              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-2);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
-              "#sk-container-id-1 div.sk-label label {\n",
-              "  /* The background is the default theme color */\n",
-              "  color: var(--sklearn-color-text-on-default-background);\n",
-              "}\n",
-              "\n",
-              "/* On hover, darken the color of the background */\n",
-              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
-              "  color: var(--sklearn-color-text);\n",
-              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-              "}\n",
-              "\n",
-              "/* Label box, darken color on hover, fitted */\n",
-              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
-              "  color: var(--sklearn-color-text);\n",
-              "  background-color: var(--sklearn-color-fitted-level-2);\n",
-              "}\n",
-              "\n",
-              "/* Estimator label */\n",
-              "\n",
-              "#sk-container-id-1 div.sk-label label {\n",
-              "  font-family: monospace;\n",
-              "  font-weight: bold;\n",
-              "  display: inline-block;\n",
-              "  line-height: 1.2em;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-label-container {\n",
-              "  text-align: center;\n",
-              "}\n",
-              "\n",
-              "/* Estimator-specific */\n",
-              "#sk-container-id-1 div.sk-estimator {\n",
-              "  font-family: monospace;\n",
-              "  border: 1px dotted var(--sklearn-color-border-box);\n",
-              "  border-radius: 0.25em;\n",
-              "  box-sizing: border-box;\n",
-              "  margin-bottom: 0.5em;\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-estimator.fitted {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-0);\n",
-              "}\n",
-              "\n",
-              "/* on hover */\n",
-              "#sk-container-id-1 div.sk-estimator:hover {\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-2);\n",
-              "}\n",
-              "\n",
-              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
-              "\n",
-              "/* Common style for \"i\" and \"?\" */\n",
-              "\n",
-              ".sk-estimator-doc-link,\n",
-              "a:link.sk-estimator-doc-link,\n",
-              "a:visited.sk-estimator-doc-link {\n",
-              "  float: right;\n",
-              "  font-size: smaller;\n",
-              "  line-height: 1em;\n",
-              "  font-family: monospace;\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "  border-radius: 1em;\n",
-              "  height: 1em;\n",
-              "  width: 1em;\n",
-              "  text-decoration: none !important;\n",
-              "  margin-left: 0.5em;\n",
-              "  text-align: center;\n",
-              "  /* unfitted */\n",
-              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
-              "  color: var(--sklearn-color-unfitted-level-1);\n",
-              "}\n",
-              "\n",
-              ".sk-estimator-doc-link.fitted,\n",
-              "a:link.sk-estimator-doc-link.fitted,\n",
-              "a:visited.sk-estimator-doc-link.fitted {\n",
-              "  /* fitted */\n",
-              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
-              "  color: var(--sklearn-color-fitted-level-1);\n",
-              "}\n",
-              "\n",
-              "/* On hover */\n",
-              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
-              ".sk-estimator-doc-link:hover,\n",
-              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
-              ".sk-estimator-doc-link:hover {\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
-              "  color: var(--sklearn-color-background);\n",
-              "  text-decoration: none;\n",
-              "}\n",
-              "\n",
-              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
-              ".sk-estimator-doc-link.fitted:hover,\n",
-              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
-              ".sk-estimator-doc-link.fitted:hover {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-3);\n",
-              "  color: var(--sklearn-color-background);\n",
-              "  text-decoration: none;\n",
-              "}\n",
-              "\n",
-              "/* Span, style for the box shown on hovering the info icon */\n",
-              ".sk-estimator-doc-link span {\n",
-              "  display: none;\n",
-              "  z-index: 9999;\n",
-              "  position: relative;\n",
-              "  font-weight: normal;\n",
-              "  right: .2ex;\n",
-              "  padding: .5ex;\n",
-              "  margin: .5ex;\n",
-              "  width: min-content;\n",
-              "  min-width: 20ex;\n",
-              "  max-width: 50ex;\n",
-              "  color: var(--sklearn-color-text);\n",
-              "  box-shadow: 2pt 2pt 4pt #999;\n",
-              "  /* unfitted */\n",
-              "  background: var(--sklearn-color-unfitted-level-0);\n",
-              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
-              "}\n",
-              "\n",
-              ".sk-estimator-doc-link.fitted span {\n",
-              "  /* fitted */\n",
-              "  background: var(--sklearn-color-fitted-level-0);\n",
-              "  border: var(--sklearn-color-fitted-level-3);\n",
-              "}\n",
-              "\n",
-              ".sk-estimator-doc-link:hover span {\n",
-              "  display: block;\n",
-              "}\n",
-              "\n",
-              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
-              "\n",
-              "#sk-container-id-1 a.estimator_doc_link {\n",
-              "  float: right;\n",
-              "  font-size: 1rem;\n",
-              "  line-height: 1em;\n",
-              "  font-family: monospace;\n",
-              "  background-color: var(--sklearn-color-background);\n",
-              "  border-radius: 1rem;\n",
-              "  height: 1rem;\n",
-              "  width: 1rem;\n",
-              "  text-decoration: none;\n",
-              "  /* unfitted */\n",
-              "  color: var(--sklearn-color-unfitted-level-1);\n",
-              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
-              "  /* fitted */\n",
-              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
-              "  color: var(--sklearn-color-fitted-level-1);\n",
-              "}\n",
-              "\n",
-              "/* On hover */\n",
-              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
-              "  /* unfitted */\n",
-              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
-              "  color: var(--sklearn-color-background);\n",
-              "  text-decoration: none;\n",
-              "}\n",
-              "\n",
-              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
-              "  /* fitted */\n",
-              "  background-color: var(--sklearn-color-fitted-level-3);\n",
-              "}\n",
-              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=1000, solver=&#x27;liblinear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(max_iter=1000, solver=&#x27;liblinear&#x27;)</pre></div> </div></div></div></div>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 9
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "y_pred = model.predict(X_test_tfidf)\n",
-        "accuracy = accuracy_score(y_test, y_pred)\n",
-        "report = classification_report(y_test, y_pred, target_names=['True', 'Fake'])\n",
-        "\n",
-        "print(\"\\n--- Model Evaluation ---\")\n",
-        "print(f\"Accuracy: {accuracy:.4f}\")\n",
-        "print(\"Classification Report:\")\n",
-        "print(report)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Y7wX0ZM6so36",
-        "outputId": "c55882c6-612a-40d1-a0cf-b5dddedfcab7"
-      },
-      "execution_count": 15,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "\n",
-            "--- Model Evaluation ---\n",
-            "Accuracy: 0.9669\n",
-            "Classification Report:\n",
-            "              precision    recall  f1-score   support\n",
-            "\n",
-            "        True       0.96      0.96      0.96      2248\n",
-            "        Fake       0.97      0.97      0.97      2623\n",
-            "\n",
-            "    accuracy                           0.97      4871\n",
-            "   macro avg       0.97      0.97      0.97      4871\n",
-            "weighted avg       0.97      0.97      0.97      4871\n",
-            "\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import requests\n",
-        "from bs4 import BeautifulSoup\n",
-        "def predict_article(url):\n",
-        "    try:\n",
-        "        response = requests.get(url, timeout=10)\n",
-        "        response.raise_for_status()\n",
-        "        soup = BeautifulSoup(response.text, 'html.parser')\n",
-        "        text = soup.get_text()\n",
-        "        text_vectorized = tfidf_vectorizer.transform([text])\n",
-        "        prediction = model.predict(text_vectorized)\n",
-        "        return \"True\" if prediction[0] == 1 else \"Fake\"\n",
-        "    except requests.exceptions.RequestException as e:\n",
-        "        return f\"Error: Could not retrieve article from URL. {e}\"\n",
-        "    except Exception as e:\n",
-        "        return f\"Error: An unexpected error occurred. {e}\""
-      ],
-      "metadata": {
-        "id": "xAT82LcUquTg"
-      },
-      "execution_count": 12,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "url_to_check = input(\"Please enter a URL to check: \")\n",
-        "prediction = predict_article(url_to_check)\n",
-        "print(f\"The article at {url_to_check} is predicted to be {prediction}.\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "2fMCoL8xrbIr",
-        "outputId": "ff3c09ae-b257-497d-f9ef-91ba1739aad2"
-      },
-      "execution_count": 16,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Please enter a URL to check: https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706\n",
-            "The article at https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706 is predicted to be Fake.\n"
-          ]
-        }
-      ]
-    }
-  ]
-}
\ No newline at end of file

From 65e9394b72dbbbfeec2eaf359e663a050e78c53f Mon Sep 17 00:00:00 2001
From: rohan-konanki <105895943+rohan-konanki@users.noreply.github.com>
Date: Wed, 3 Sep 2025 23:26:16 -0400
Subject: [PATCH 5/5] Add files via upload

---
 .../Research_Application.ipynb                | 223 ++++++++++++++++++
 1 file changed, 223 insertions(+)
 create mode 100644 submissions/Submission: Rohan Konanki/Research_Application.ipynb

diff --git a/submissions/Submission: Rohan Konanki/Research_Application.ipynb b/submissions/Submission: Rohan Konanki/Research_Application.ipynb
new file mode 100644
index 0000000..003a4a5
--- /dev/null
+++ b/submissions/Submission: Rohan Konanki/Research_Application.ipynb	
@@ -0,0 +1,223 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 17,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Qe_spw0enTcU",
+        "outputId": "b037c15f-b656-4b06-a8ce-b641d861a72d"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Requirement already satisfied: transformers in /usr/local/lib/python3.12/dist-packages (4.55.4)\n",
+            "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages (4.0.0)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from transformers) (3.19.1)\n",
+            "Requirement already satisfied: huggingface-hub<1.0,>=0.34.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.34.4)\n",
+            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2.0.2)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (25.0)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from transformers) (6.0.2)\n",
+            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2024.11.6)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from transformers) (2.32.4)\n",
+            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.21.4)\n",
+            "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.6.2)\n",
+            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.12/dist-packages (from transformers) (4.67.1)\n",
+            "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (18.1.0)\n",
+            "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.3.8)\n",
+            "Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from datasets) (2.2.2)\n",
+            "Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets) (3.5.0)\n",
+            "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.70.16)\n",
+            "Requirement already satisfied: fsspec<=2025.3.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2025.3.0)\n",
+            "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (3.12.15)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (4.14.1)\n",
+            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (1.1.8)\n",
+            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.4.3)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.10)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (2.5.0)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (2025.8.3)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2.9.0.post0)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets) (2025.2)\n",
+            "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2.6.1)\n",
+            "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.4.0)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (25.3.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.7.0)\n",
+            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.6.4)\n",
+            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.3.2)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.20.1)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n",
+            "Requirement already satisfied: bs4 in /usr/local/lib/python3.12/dist-packages (0.0.2)\n",
+            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.12/dist-packages (from bs4) (4.13.5)\n",
+            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (2.7)\n",
+            "Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->bs4) (4.14.1)\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install transformers datasets\n",
+        "!pip install bs4"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "from datasets import load_dataset\n",
+        "ds = load_dataset(\"GonzaloA/fake_news\", split=\"train\")\n",
+        "df = ds.to_pandas()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "cYbinwQwoNQp",
+        "outputId": "429ac36d-55cc-4a91-bd61-bdc912537af4"
+      },
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Repo card metadata block was not found. Setting CardData to empty.\n",
+            "WARNING:huggingface_hub.repocard:Repo card metadata block was not found. Setting CardData to empty.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.model_selection import train_test_split\n",
+        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+        "from sklearn.metrics import accuracy_score, classification_report\n",
+        "\n",
+        "df = df.dropna(subset=['text', 'label'])\n",
+        "X = df['text']\n",
+        "y = df['label']\n",
+        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
+      ],
+      "metadata": {
+        "id": "4s7DM9wrpI0R"
+      },
+      "execution_count": 19,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "tfidf_vectorizer = TfidfVectorizer(max_features=2500, stop_words='english')\n",
+        "X_train_tfidf = tfidf_vectorizer.fit_transform(X_train)\n",
+        "X_test_tfidf = tfidf_vectorizer.transform(X_test)"
+      ],
+      "metadata": {
+        "id": "326OYLglp20I"
+      },
+      "execution_count": 20,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from transformers import pipeline\n",
+        "classifier = pipeline(\"text-classification\", model=\"distilbert-base-uncased-finetuned-sst-2-english\", truncation=True)\n",
+        "sample_size = 50\n",
+        "X_sample = X_test.head(sample_size).tolist()\n",
+        "y_sample = y_test.head(sample_size).tolist()\n",
+        "y_pred_raw = classifier(X_sample)\n",
+        "y_pred = [1 if p['label'] == 'POSITIVE' else 0 for p in y_pred_raw]\n",
+        "accuracy = accuracy_score(y_sample, y_pred)\n",
+        "report = classification_report(y_sample, y_pred, target_names=['True', 'Fake'])"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "2KAgTdG7qeI5",
+        "outputId": "e5e6754e-b4fd-491f-ec6b-1f3b154ee002"
+      },
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Device set to use cpu\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import requests\n",
+        "from bs4 import BeautifulSoup\n",
+        "def predict_article(url):\n",
+        "  try:\n",
+        "    response = requests.get(url, timeout=10)\n",
+        "    response.raise_for_status()\n",
+        "    soup = BeautifulSoup(response.text, 'html.parser')\n",
+        "    text = soup.get_text()\n",
+        "    #data is truncated for token reasons\n",
+        "    text_to_predict = text[:512]\n",
+        "    prediction_raw = classifier(text_to_predict)\n",
+        "    prediction = prediction_raw[0]['label']\n",
+        "    return \"Real\" if prediction == 'POSITIVE' else \"Fake\"\n",
+        "  except requests.exceptions.RequestException as e:\n",
+        "    return f\"Error: Could not retrieve article from URL. {e}\"\n",
+        "  except Exception as e:\n",
+        "    return f\"Error: An unexpected error occurred. {e}\""
+      ],
+      "metadata": {
+        "id": "xAT82LcUquTg"
+      },
+      "execution_count": 24,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "url_to_check = input(\"Please enter a URL to check: \")\n",
+        "prediction = predict_article(url_to_check)\n",
+        "print(f\"The article at {url_to_check} is predicted to be {prediction}.\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "2fMCoL8xrbIr",
+        "outputId": "f4316ed6-7878-4805-9f45-3d875d3cd218"
+      },
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Please enter a URL to check: https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706\n",
+            "The article at https://abcnews.go.com/Politics/trump-calls-epstein-files-irrelevant-push-release-gains/story?id=125225706 is predicted to be Fake.\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file