AI Assistant
A conversational AI that actually understands context.
A full-featured AI chat assistant with persistent conversation memory, multi-turn context handling, and a clean chat UI — built to demonstrate how NLP APIs can be wrapped into a polished, production-ready product rather than a raw API demo.
The Problem
What needed solving.
Most AI chat demos are single-turn — ask a question, get an answer, context resets. Real conversations don't work that way. 'What did I just ask you?' should have a coherent answer. Building meaningful conversational AI means solving context persistence, turn management, and graceful degradation when the model loses the thread.
The Solution
How I solved it.
A React-based chat application with a Node.js backend that maintains conversation history per session, sends the full context window to the AI API on every turn, and handles streaming responses for a real-time typing effect — making the assistant feel genuinely conversational.
Features
What it does.
Multi-Turn Conversation
Full conversation history is maintained per session and sent as context on every API call — the assistant remembers what was discussed earlier in the same conversation.
Streaming Responses
AI responses stream token-by-token to the UI via Server-Sent Events — no waiting for the full response, just a natural typing effect.
Clean Chat Interface
Message bubbles, timestamps, typing indicators, and scroll-to-latest — all the UX patterns of a polished messaging app applied to AI chat.
Session Management
Each conversation is a persisted session — users can start new conversations or return to previous ones. Sessions stored in localStorage with optional server sync.
System Architecture
How it's built.
Technology Stack
Frontend
Backend
AI/NLP
Deployment
Challenges & Solutions
Real problems, real fixes.
Demo & Screenshots
See it live.
Multi-turn conversation with streaming response
Explore the full source code and documentation.