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3D Virtual Assistant AI for Astronauts

🚀 Overview

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.

🏗️ Tech Stack

  • 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

🎯 Features

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

🏗️ System Architecture

[ User ] --(Mic Input)--> [Speech-to-Text AI] --(Text)--> [LLM] --(Response)--> [TTS] --(Audio)--> [3D Assistant]

⚡ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/your-repo/3d-virtual-assistant-astronaut.git
cd 3d-virtual-assistant-astronaut

2️⃣ Backend (FastAPI)

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

3️⃣ Frontend (React & Three.js)

cd frontend
npm install
npm start

4️⃣ Run in Docker

docker-compose up --build

🛠️ API Endpoints (FastAPI)

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

📜 Future Enhancements

  • 🎤 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

🤝 Contributing

We welcome contributions! To contribute:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature-name)
  3. Commit your changes (git commit -m 'Add new feature')
  4. Push the branch (git push origin feature-name)
  5. Open a pull request

📄 License

This project is licensed under the MIT License.

💡 Contact

For questions, reach out to: [your-email@example.com] or open an issue in the GitHub repository.


🚀 Let's build the future of astronaut AI assistants!

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