AIFrontendBackend
AI Chatbot
A full-stack AI chatbot with Gemini-powered responses, streaming chat, authentication, chat history, rate limiting, and a responsive React interface.
2026Live
01Project Overview
Overview
A full-stack conversational AI application combining a React frontend, FastAPI backend, Gemini API, MongoDB, and JWT authentication.
02Problem Space
The Problem
AI chat applications need more than model integration. They require authentication, streaming responses, usage controls, structured responses, and a responsive user experience.
03Project Objectives
Goals
Build a modern conversational interface
Integrate Gemini for AI responses
Support streaming responses
Implement authentication
Persist user-related application state
04System Design
Architecture
01React + Vite frontend
02Tailwind CSS interface
03FastAPI backend
04Gemini API integration
05MongoDB database
06JWT authentication
07Streaming response pipeline
05Engineering Challenges
Challenges
Streaming AI responses
Authentication and token handling
Rate limiting
Maintaining responsive chat UX
06Implementation
Solutions
FastAPI streaming responses
JWT-based authentication
MongoDB-backed token blacklist
Structured AI response format
Responsive React components
07Tech Stack
Technology
React
Vite
Tailwind CSS
FastAPI
Python
Gemini API
MongoDB
JWT
Render
Vercel
08What I Learned
Lessons Learned
AI products require strong application architecture around the model
Streaming significantly improves conversational UX
Authentication and usage control should be designed early
09What's Next
Future Improvements
Refresh token system
Usage analytics dashboard
Subscription plans
Markdown rendering
Database-backed chat synchronization