I recently built MehadiAI, an

I recently built MehadiAI, an intelligent AI assistant designed for real-world use cases such as chat-based support, document-based Q&A, and knowledge workflow automation.

What this project does:

Lets users chat naturally with an AI assistant

Understands uploaded documents and answers questions from them using RAG

Maintains context across conversations

Uses tools like web search, calculation, and memory to improve response quality

Built with FastAPI, LangChain, LangGraph, Google Gemini, Chroma, and SQLite, this project demonstrates how AI can be turned into a useful, interactive product experience.

It is a strong example of a modern AI application that combines backend engineering, LLM orchestration, vector search, and deployment-ready architecture.

GitHub: https://github.com/Mehadii-Hassan/MehadiAI Live Demo: https://mehadiai.onrender.com