The 3D Virtual Assistant AI for Astronauts is an advanced AI-powered system designed to assist astronauts in space missions by providing real-time voice interaction, facial animations, and intelligent responses. This system integrates AI Large Language Models (LLMs), Python FastAPI, React, Three.js, and Text-to-Speech (TTS) to create an immersive and interactive experience.
- Frontend: React, Three.js (WebGL-based 3D rendering)
- Backend: Python (FastAPI for API handling)
- AI Models: LLMs (OpenAI, LLaMA, or Custom GPT)
- Voice Processing:
- Speech-to-Text: OpenAI Whisper, Google STT
- Text-to-Speech: Google TTS, Amazon Polly, OpenAI TTS
- Facial Animation: BlendShapes (Viseme synchronization with speech)
- Database: PostgreSQL, MongoDB (for conversation history & user preferences)
- Deployment: Docker, AWS/GCP/Azure
✅ 3D Realistic Human Assistant – Built using Three.js & Blender models
✅ Real-time Speech Recognition – Converts astronaut commands into text using AI
✅ LLM-Powered Conversation – Provides intelligent responses using LLM APIs
✅ Text-to-Speech (TTS) Synthesis – Generates lifelike voice responses
✅ Lip Sync & Facial Animations – Enhances realism using Viseme-based animation
✅ Multi-Platform Support – Works on Web (React), Desktop (Unity), and Mobile (React Native)
✅ Space Mission Integration – Provides mission status updates & real-time alerts
[ User ] --(Mic Input)--> [Speech-to-Text AI] --(Text)--> [LLM] --(Response)--> [TTS] --(Audio)--> [3D Assistant]
git clone https://github.com/your-repo/3d-virtual-assistant-astronaut.git
cd 3d-virtual-assistant-astronautcd backend
pip install -r requirements.txt
uvicorn main:app --reloadcd frontend
npm install
npm startdocker-compose up --build| Method | Endpoint | Description |
|---|---|---|
POST |
/stt |
Converts speech to text |
POST |
/query |
Sends text to LLM for response |
GET |
/tts |
Converts text to speech |
GET |
/animation |
Generates lip sync animation |
- 🎤 Voice Emotion Analysis for detecting astronaut stress levels
- 🧠 On-Device AI Processing for offline functionality
- 🌍 Multilingual Support for international space missions
- 🚀 AR/VR Support for immersive astronaut training
We welcome contributions! To contribute:
- Fork the repository
- Create a feature branch (
git checkout -b feature-name) - Commit your changes (
git commit -m 'Add new feature') - Push the branch (
git push origin feature-name) - Open a pull request
This project is licensed under the MIT License.
For questions, reach out to: [your-email@example.com] or open an issue in the GitHub repository.