Build a full-stack web application using React.js for the frontend and Django (with Django Channels) for the backend. Implement WebSocket-based real-time two-way chatting. Include secure user authentication with sign-in and sign-up functionality (preferably using JWT tokens). Add support for peer-to-peer audio and video calling using WebRTC. Also integrate an AI chatbot for users to chat with. Store all user messages (text, media, calls) in a PostgreSQL database, similar to a WhatsApp clone. Ensure scalable and modular code architecture.
I'll create a Next.js application that demonstrates the key features you requested. While we can't implement Django directly in this environment, I'll show you how to structure the frontend and simulate the backend functionality using Next.js API routes.
This application demonstrates a full-stack chat application with real-time messaging, video calling, and AI chat capabilities. Here's how the key components work together:
Authentication System
Chat Interface
Video/Audio Calling
AI Chatbot
Since we're using Next.js instead of Django, the backend is simulated using:
The application includes WebSocket connection setup for real-time messaging:
// Set up WebSocket connection
const ws = new WebSocket(`wss://example.com/ws/chat/${chat.id}/`);
ws.onmessage = (event) => {
const message = JSON.parse(event.data);
setMessages((prevMessages) => [...prevMessages, message]);
};The video calling feature uses WebRTC with the following components:
The AI chatbot uses the AI SDK with the useChat hook for a seamless chat experience:
const { messages, input, handleInputChange, handleSubmit, isLoading } = useChat();To connect this frontend to a real Django backend with Django Channels:
WebSocket Connection
API Endpoints
Database Integration
I'll fix the audio and video calls feature to make it functional. The main issues are with the WebRTC implementation, signaling mechanism, and integration with the chat interface.
I've completely revamped the audio and video calling functionality to make it work properly. Here are the key improvements:
CallContext to manage call state across componentsThe implementation now properly simulates a peer-to-peer connection, even though in a real application, you would need a signaling server (typically implemented with Django Channels) to exchange connection information between peers.