Autism Companion: Empowering Neurodiverse Children with AI Technology Our AI platform creates personalized support for children with Autism Spectrum Disorder. Using generative AI, we develop custom social stories and conversation simulations tailored to each child's unique sensitivities
Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.
Self-correcting agentic RAG with LangGraph — combines Adaptive, Corrective, and Self-RAG. Routes queries, grades retrieved documents, and checks answers for hallucinations. Runs fully local on Ollama.
A personalized Bengali AI tutor using an Agentic RAG architecture with long-term memory. 🧠 Built with LangGraph, it dynamically retrieves from Pinecone or web search. Served via a FastAPI backend and Streamlit UI.
A full-stack AI-powered knowledge management system where users can save links, PDFs, and images, automatically organize them using AI, search semantically, and chat with their own data using RAG. Includes a D3-based knowledge graph and Chrome extension for instant saving.
An AI-powered stock analysis system that automates the daily market-movers research workflow. UiPath scrapes Yahoo Finance; a LangGraph multi-agent pipeline analyzes each stock and produces an Excel report and a plain-text summary.
Autism Companion: Empowering Neurodiverse Children with AI Technology Our AI platform creates personalized support for children with Autism Spectrum Disorder. Using generative AI, we develop custom social stories and conversation simulations tailored to each child's unique sensitivities
Production-grade RAG chatbot that answers questions from your PDFs with source citations built with FastAPI, React, FAISS + BM25 hybrid retrieval, and deployed on AWS EC2 with Docker.
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build a complete Multi-Agent AI Research System from scratch using LangChain and Large Language Models
RAG chatbot built with n8n, Mistral AI & Pinecone — semantic search on COVID dataset with no-code pipeline
Autonomous multi-agent due-diligence desk — LangGraph orchestration, agentic hybrid RAG, MCP tools, and a self-improving LLM-Ops loop.
A Retrieval-Augmented Generation (RAG) chatbot built with LangChain, HuggingFace embeddings, FAISS vector store, and Google's Gemini 2.0 Flash model.
Shiksha Sampadan is a GenAI-powered content generator designed to create and translate educational content into 22 different Indian languages. The project simplifies learning by categorizing content into three levels, catering to users with varying degrees of understanding.
This project is an AI-powered student performance assistant built using LangGraph, LangChain, and Groq’s LLaMA-3 model. It integrates a Retrieval-Augmented Generation (RAG) system to answer queries about student performance, assignments, marks, and attendance.
An exploration of advanced text splitting strategies in LangChain for RAG, from basic character splitting to state-of-the-art semantic chunking.
Intern project task using langchain and chat with multiple document
A beginner-friendly AI Agent built with Python and Google Gemini to demonstrate the core concepts of modern AI engineering. The project starts with a custom agent implementation and is gradually refactored using LangChain to help understand what AI frameworks do behind the scenes.
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