Real-Time Voice Communication Platform
Technologies Used:
Python 3.10 | HTML | JavaScript | WebRTC | Open-Source models like Whisper (translation) | edge-tts (Voice to text)
Project Overview:
Revolutionizing Communication with AI-Powered Transcription and Translation with multiple languages.
Core Solution: P2P voice communication app with live speech-to-text transcription
Features :
- Real-time voice calls with instant transcription and audio translation
- Secure WebSocket connections for privacy
- Cross-browser compatibility for universal access
- AI-powered speech recognition using Whisper technology