Zoom Clone - Video Chat Application

A real-time video chat application built with Django, Django Channels, and WebRTC.

Features

• Text chat functionality
• Video chat using WebRTC
• Real-time communication with WebSockets

Tech Stack

• Backend: Django, Django Channels, Django REST Framework
• WebSockets: Django Channels (ASGI)
• Database: PostgreSQL (production), SQLite (development)
• Deployment: Render

Deployment on Render

This application is configured for easy deployment on Render.com.

Prerequisites

1. Create a Render account at render.com
2. Fork or clone this repository to your GitHub account

Deployment Steps

1. Connect your GitHub repository to Render

   • In your Render dashboard, click "New" and select "Blueprint"
   • Connect your GitHub account and select this repository
   • Render will automatically detect the render.yaml configuration

2. Configure Environment Variables

   • Render will create the necessary services based on the render.yaml file
   • Add the following environment variables in the Render dashboard:
     • SECRET_KEY: A secure random string for Django
     • DEBUG: Set to "False" for production
     • RENDER_EXTERNAL_HOSTNAME: Your Render app URL (automatically set by Render)

3. Deploy

   • Render will automatically deploy your application
   • The build process will:
     • Install dependencies from requirements.txt
     • Run database migrations
     • Collect static files
     • Start the Daphne ASGI server

Manual Deployment

If you prefer to deploy manually:

1. Create a new Web Service in Render

2. Connect your GitHub repository

3. Configure the following settings:

   • Environment: Python
   • Build Command: ./build.sh
   • Start Command: daphne -p $PORT -b 0.0.0.0 zoom_clone.asgi:application
   • Add the required environment variables

4. Create a PostgreSQL database in Render and link it to your web service

Local Development

1. Clone the repository
2. Create a virtual environment: python -m venv venv
3. Activate the virtual environment:
   • Windows: venv\Scripts\activate
   • macOS/Linux: source venv/bin/activate
4. Install dependencies: pip install -r requirements.txt
5. Create a .env file based on .env.sample
6. Run migrations: python manage.py migrate
7. Start the development server: python manage.py runserver

WebSocket Endpoints

• Text Chat: ws://<domain>/ws/chat/<room_name>/
• Video Chat: ws://<domain>/ws/video/<room_name>/