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vanshikaarorax/README.md

👋 I'm Vanshika Arora, an AI/ML Engineer specializing in deep learning, model fine-tuning, and productionizing ML systems. 🤖 I work with PyTorch, TensorFlow, custom architectures (CNNs, transformers, attention mechanisms), and advanced training techniques like focal loss and transfer learning. ⚙️ Skilled in model optimization, hyperparameter tuning, deployment pipelines with FastAPI, Docker, AWS, and building scalable ML infrastructure. 🚀 Passionate about taking models from research to production — fine-tuning for real-world performance, reducing latency, and shipping ML systems that scale.

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  1. NutriGen NutriGen Public

    NutriGen 🧠🥗 An AI-powered RAG Nutrition Chatbot. Built using Next.js, OpenAI, Supabase (pgvector), and Gemma-7B, NutriGen combines local + cloud models for context-aware question answering on nutri…

    Jupyter Notebook

  2. Verdict-gpt Verdict-gpt Public

    Complete GPT-2 architecture from the ground up including tokenization, embeddings, transformer layers, attention, and training trained on The Verdict novel dataset,120 million parameters,768 dimens…

    Jupyter Notebook

  3. ai_agent ai_agent Public

    The AI Agent Recommendation Application is a platform that helps users find the most suitable AI agent based on their specific requirements, such as travel planning, business automation, or custome…

    JavaScript

  4. Movie-bub Movie-bub Public

    Movie-bub is an app where you can know about all the movies in the world,you can see their trailers,description and many more functionalities are there..

    JavaScript

  5. CortexAI CortexAI Public

    A robust image classification system using a Convolutional Neural Network (CNN) that would classify if subject has a tumor or not base on MRI scan.

    Jupyter Notebook

  6. Trading-Crypto-stocks-reccomendation Trading-Crypto-stocks-reccomendation Public

    Crypto Recommendation: Built AI platform to recommend crypto ,added buy/shell recommendation using pinescript and recommendation is cutomizable according to user.

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