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Sane219/README.md

Hi there, I'm Sanket Chauhan 👋

AI/ML Engineer • Data Pipelines • Full-Stack Developer

Personal Portfolio LinkedIn

👨‍💻 About Me

I am an engineer specializing in Deep Learning, Computer Vision, and AI Agents. I build production-grade applications that solve real-world problems—from real-time market data pipelines to autonomous code review systems.

  • 🔭 Currently building: SyntaxAgent (an autonomous GitHub code review agent) and exploring Swift for macOS development.
  • 🛠️ Technical Focus: Local LLMs, RAG Systems, Time-Series Forecasting (LSTMs), and React/Next.js.
  • 💡 Passionate about bridging the gap between complex ML models and intuitive user interfaces.

🚀 Featured Repositories

🤖 AI Agents & NLP

  • SyntaxAgent: A self-hosted AI code review agent. Orchestrates GitHub PR webhooks via FastAPI/NestJS and generates feedback using vLLM.
  • RAD-Knowledge-Assistant: A Retrieval-Augmented Generation (RAG) system built in Python to answer user queries using private document collections with minimal hallucination.
  • Ai-Powered-Legal-Summarizer: Leverages transformer-based models to generate concise, accurate summaries of complex legal documents.
  • ATS-resume: An NLP-powered tool that extracts information from resumes and generates ATS-optimized versions tailored for specific job positions.

👁️ Computer Vision

  • sign-language-interpreter: Real-time sign language interpretation using MediaPipe for hand gesture detection and a custom neural network.
  • NutriBot: A web app that analyzes food packaging images via computer vision to determine health scores and classify diet types (vegan/vegetarian).
  • Dog_Breed: An EfficientNetB3 deep learning model with transfer learning to classify 120 different dog breeds, featuring a Streamlit UI.

📈 Data Pipelines & Finance

  • Nifty-50-Live-Pulse: Real-time market data pipeline architecture.
  • Nifty-500-predictions: A deep learning model using LSTM neural networks analyzing 5 years of historical data to predict the top 10 most profitable stocks.
  • TAXBOT: An AI-powered Indian Income Tax Assistant built with Streamlit for tax calculation and planning.

💻 Tech Stack & Tools

Languages: Python • TypeScript/JavaScript • SQL
AI & ML: TensorFlow • Keras • LLMs (vLLM, Ollama) • MediaPipe • RAG Pipelines
Backend & Data: FastAPI • Node.js • Streamlit • Jupyter • Pandas/NumPy
Frontend: React • Tailwind CSS

Sanket's GitHub Stats Top Languages

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  1. ATS-resume ATS-resume Public

    A comprehensive NLP-powered tool to extract information from resumes and generate ATS-optimized versions tailored for specific job positions.

    Python

  2. Nifty-500-predictions Nifty-500-predictions Public

    This project implements a sophisticated deep learning model using LSTM neural networks to predict the top 10 most profitable stocks for the next 50 days. The model analyzes 5 years of historical da…

    Python

  3. sign-language-interpreter sign-language-interpreter Public

    A Python-based project for real-time sign language interpretation using MediaPipe for hand gesture detection and a neural network for gesture classification. Uses the ASL Alphabet dataset from Kaggle.

    Python 1

  4. TAXBOT TAXBOT Public

    TaxBot 2025 is a comprehensive, AI-powered Indian Income Tax Assistant that simplifies tax calculation and provides intelligent tax planning insights. Built with Streamlit, it offers an intuitive i…

    Python

  5. Dog_Breed Dog_Breed Public

    A deep learning project that classifies dog breeds from images using an EfficientNetB3 model with transfer learning. The project features a user-friendly Streamlit web interface and can classify 12…

    Python

  6. NutriBot NutriBot Public

    NutriBot is a web application that analyzes food packaging images to determine the healthiness of a product using AI and computer vision. It predicts a health score and classifies the diet type (ve…

    Python