Project Showcase
A real-time chat and video calling platform supporting 1,000+ users, 2,500+ daily messages, and 200+ video sessions with <100ms WebSocket latency.
## Overview OurChat is a real-time communication platform designed for seamless messaging and video calls. ## Key Features - WebSocket-powered instant messaging - Group video calls with up to 50 participants - File sharing and rich media support - End-to-end encryption - User presence and typing indicators ## Technology Built with Django Channels for WebSocket handling, React for the frontend, and PostgreSQL for data storage.
OurChat is a real-time communication platform designed for seamless messaging and video calls.
Built with Django Channels for WebSocket handling, React for the frontend, and PostgreSQL for data storage.
Users needed a fast, reliable communication platform with real-time messaging and video calls. Existing solutions were either too complex or lacked WebSocket support.
I used Django Channels for persistent WebSocket connections, Redis as a channel layer for message routing, and React with WebRTC for video calling. Celery handles background tasks like file uploads.
The platform now supports 350+ daily active users with <100ms latency. Video calls run smoothly with 200+ sessions daily. User retention is 78% month-over-month.
Case Study
A clear walkthrough of the problem, our approach, and the measurable outcomes.
Users needed a fast, reliable communication platform with real-time messaging and video calls. Existing solutions were either too complex or lacked WebSocket support.
I used Django Channels for persistent WebSocket connections, Redis as a channel layer for message routing, and React with WebRTC for video calling. Celery handles background tasks like file uploads.
The platform now supports 350+ daily active users with <100ms latency. Video calls run smoothly with 200+ sessions daily. User retention is 78% month-over-month.
Users needed a fast, reliable communication platform with real-time messaging and video calls. Existing solutions were either too complex or lacked WebSocket support.
I used Django Channels for persistent WebSocket connections, Redis as a channel layer for message routing, and React with WebRTC for video calling. Celery handles background tasks like file uploads.
The platform now supports 350+ daily active users with <100ms latency. Video calls run smoothly with 200+ sessions daily. User retention is 78% month-over-month.
1,000+ registered users in first month
User Growth
350+ daily active users
Active Users
2,500+ messages per day
Chat Messages
200+ daily call sessions
Video Calls
<100ms WebSocket latency
Response Time
99.9% availability
Uptime
78% month-over-month retention
User Retention
72 (Excellent)
NPS Score
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