GoAI Chat Web Application Case Study
Project Scope
GoAI is an AI-powered chat application designed to deliver dynamic, personalized conversational experiences. It intelligently matches user queries with the most suitable language model (LLM) and agent combination in real time. The app integrates an LLM recommendation engine, model-agent orchestration, and memory-based conversations—all within a modern UI built using React.js.
By leveraging technologies like LangChain, OpenAI, Gemini, and FastAPI, GoAI ensures users receive context-aware responses with accurate information, whether for education, business, or support. It features secure JWT authentication, dynamic chat memory, and role-based data access.
Challenge & Solution
Problem: Users needed accurate results, but no single LLM worked best for all queries.
Solution: GoAI uses a dynamic model-agent recommendation system that selects the optimal LLM and agent combo based on query content and confidence scoring.
Problem: The app needed secure access control and user data management.
Solution: Implemented JWT-based authentication, email/password login, and OTP verification, with separate flows for new user registration and login.
Problem: Conversations were fragmented without memory.
Solution: Integrated LangGraph and MemorySaver to persist user history, enabling context-aware follow-ups and dynamic multi-turn responses.
Problem: Users accessed the app on various screen sizes.
Solution: Created a responsive frontend with React.js and Tailwind CSS, including dark mode, toggle layouts, and chat UI enhancements.
Tech Stack Implementation
Frontend
React.js: Core UI framework
Tailwind CSS: Utility-first styling
React Router & Axios: Navigation and API requests
JWT Auth + React Hook Form: Form validation and access control
Backend
FastAPI + Node.js/Express: API logic and model integration
MongoDB: Stores user data, conversations, and access logs
LangChain + LangGraph: Dynamic chatbot agent orchestration
OpenAI, Gemini APIs: LLM outputs and reasoning
AI Recommendation Engine
Classifies user queries and assigns LLM + Agent
Ranks outputs using a confidence-based scoring system
Supports tools like search, API calls, and reasoning agents
Security
Password hashing & secure token storage
OTP email verification with nodemailer
CORS setup for frontend/backend sync
Role-based access using JWT tokens
