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prerna-m01/README.md

Hi, I'm Prerna Mishra

AI/ML Engineer • Generative AI • Machine Learning

Building intelligent AI applications with LLMs, RAG, Multi-Agent Systems, and Machine Learning.

👩‍💻 About Me

B.Sc. (Hons) Computer Science @ University of Delhi. Passionate about building production-ready AI applications that solve real-world problems. Interested in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and Machine Learning. Currently learning LangGraph, LLMOps, Advanced RAG, and AI System Design.

⚡ Tech Stack

Languages

Python SQL

Machine Learning

Scikit-Learn TensorFlow PyTorch

Generative AI

LangChain Google Gemini Hugging Face RAG AI Agents Prompt Engineering

Vector Databases

FAISS ChromaDB Sentence Transformers

Backend

FastAPI Flask REST API SQLAlchemy

Data Science

Pandas NumPy Matplotlib

Deployment & DevOps

Docker GitHub Actions Google Cloud

Tools

Git GitHub Postman Jupyter

🚀 Featured Projects

✨ Interview Preparation Assistant

✨ Multi-Agent Research Assistant

✨ Student Exam Performance Predictor

Explore my repositories to learn more about these projects.

📫 Connect With Me

💼 LinkedIn: https://linkedin.com/in/prernamishra01

🐙 GitHub: https://github.com/prerna-m01

Popular repositories Loading

  1. StudentExamPerformancePredictor StudentExamPerformancePredictor Public

    A Machine Learning web application that predicts a student's Maths score based on demographic and academic input features.

    Jupyter Notebook 1

  2. AI-Interview-Assistant AI-Interview-Assistant Public

    AI-powered interview prep assistant using RAG, FAISS & Google Gemini — ask questions from your resume and get intelligent answers

    Python 1

  3. machine-learning-foundations machine-learning-foundations Public

    Collection of machine learning projects covering regression, classification, EDA, feature engineering, model evaluation, and data preprocessing using Python and Scikit-Learn.

    Jupyter Notebook

  4. flask-fwi-prediction flask-fwi-prediction Public

    Flask web app predicting Forest Weather Index (FWI) using the Algerian Forest Fires dataset

    Jupyter Notebook

  5. Basic-Regression-Project-From-Scratch--EDA-and-Feature-Engineering Basic-Regression-Project-From-Scratch--EDA-and-Feature-Engineering Public

    End-to-end machine learning regression project featuring EDA, feature engineering, data preprocessing, model training, and evaluation using Python and Scikit-Learn.

    Jupyter Notebook

  6. Multi-Agent-Research-Assistant Multi-Agent-Research-Assistant Public

    AI-powered Multi-Agent Research Assistant built with FastAPI, Gemini, Tavily, and RAG. Supports automated research, PDF-based Q&A, report generation, history tracking, and system monitoring.

    Python