CompletedReact.jsNode.jsExpress.jsMongoDBWebSocketsJWTGroq AIPrompt Engineering
AIVA – Context-Aware AI Chat Platform
AIVA is a full-stack AI chat platform built for real-time communication with genuine conversational memory. The system maintains both short-term and long-term context across sessions, so responses improve the longer a user interacts with it. WebSocket messaging delivers sub-100ms latency and the backend is architected to support 50+ concurrent sessions without degradation.
Timeline
7 months
Role
Full Stack Developer
Team
Solo
Status
Completed
Tech Stack
- React.js
- Node.js
- Express.js
- MongoDB
- WebSockets
- JWT
- Groq AI
- Prompt Engineering
What This Project Offers
- Real-time messaging via WebSockets with sub-100ms delivery.
- Persistent short-term and long-term conversation memory across sessions.
- Session-based memory retrieval workflows that personalize responses over time.
- JWT authentication with HTTP-only cookies for secure session management.
- Modular REST API backend supporting 50+ concurrent users.
Why I Built This Project
- To explore how persistent memory changes the quality of AI conversations.
- To implement real-time communication systems with production-grade auth.
- To understand scalable backend architecture for concurrent chat workloads.
After Launch & Impact
- Designed session memory retrieval to balance context relevance and token cost.
- Implemented WebSocket connection management for concurrent users without race conditions.
- Gained deeper understanding of authentication flows and cookie-based session security.
- Iterated on prompt engineering strategies to improve response coherence across long sessions.
Future Plans
- Add AI-powered conversation summarization for long-running sessions.
- Implement multi-room chat support.
- Improve UI for better conversation thread visualization.