My notes from Full Stack AI with Python Course from Udemy : by Hitesh Choudhary and Piyush Garg
AI-powered email digest app that connects to Gmail, summarizes unread emails using Claude AI, and categorizes them by priority. Built with Python, FastAPI, React, and SQLite.
full-stack AI Audit Terminal using an ensemble of Scikit-Learn models and Flask to classify consumer complaints real-time.
A production-ready, full-stack multi-agent AI workspace that autonomously researches, drafts, edits, and multi-channel publishes content with Human-in-the-Loop (HITL) approval gates.
AI-powered agricultural assistant using RAG, LLMs, and voice input with hybrid search and intelligent caching for fast, context-aware responses.
AI Systems Lab · Full-stack AI engineering and intelligent systems
A production-ready Retrieval-Augmented Generation (RAG) system enabling intelligent, context-aware document Q&A. Built with Python, Endee Vector Database, and Streamlit.
Elite Multimodal AI Study Agent using RAG (Retrieval-Augmented Generation). Built with Gemini 2.5 Flash, LangChain, and ChromaDB to turn notes and PYQs into interactive study kits.
Production-ready multimodal image search with Chinese/English text-to-image and image-to-image retrieval, powered by SigLIP2, FastAPI, and React.
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