π AI Digital Twin β Built for Speed, Privacy, and Precision π§ π₯
1 min readMay 22, 2025
Just wrapped up a working prototype of my AI-powered Digital Twin β an intelligent system that captures, understands, and responds to human input entirely offline.
π‘ Key Highlights:
- π€ Real-time audio + video capture
- 𧬠Local speech transcription + natural language understanding
- π In-memory semantic search using embeddings
- π‘ Live updates via WebSocket-powered frontend
- π No third-party APIs β 100% local processing
π¨βπ» Tech Stack:
- Languages: Go, C++, TypeScript, React
- Concepts: WebSockets, Embeddings, Real-Time STT, Vector Search, In-Memory State Management
This system interprets your voice and facial input on the fly, updates its memory, and learns from each interaction β all while keeping your data fully private and under your control.
π¬ Check out the demo video below to see it in action.
#AI #DigitalTwin #RealtimeAI #GoLang #CPP #TypeScript #ReactJS #PrivacyByDesign #LLM #WebSockets #EdgeAI #OpenAI
Khaled on LinkedIn: https://www.linkedin.com/in/khaledalam/