AntrikshGPT

antrikshGPT - Open-Source AI Space Explorer

[](https://antrikshgpt.vercel.app/) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://vercel.com/)

> Antriksh ( अंतरिक्ष ) means "space" in Sanskrit/Hindi.

antrikshGPT is an AI-powered space exploration web application that combines the power of a large language model (LLM) with real-time space data to create an immersive and educational cosmic experience. This version is optimized for easy, serverless deployment on Vercel.

✨ Key Features

• Conversational AI: Powered by an LLM via LangChain for accurate and engaging conversations about space.
• Real-Time Space Data: Integrates with 13 specialized space APIs to provide live data on:
• 🛰️ ISS Tracking: Real-time location of the International Space Station.
• 🚀 SpaceX Missions: Details on upcoming and past launches.
• 📰 Space News: The latest discoveries and mission updates.
• 🧑‍🚀 Astronaut Tracker: Who is in space right now.
• 🪐 Planetary Data: Rich information about celestial bodies in our solar system.
• 🔭 And much more!

• Production-Ready: Built with a smart caching system, rate limiting, and robust error handling to ensure high availability and low latency.
• Stunning UI: A modern, responsive frontend with a beautiful space theme, CSS animations, and real-time updates via WebSockets.

🛠️ Technology Stack

• AI/ML: LLM, LangChain, LangGraph
• Backend: FastAPI, WebSockets, AsyncIO, AIOHTTP
• Frontend: HTML5, CSS3, JavaScript (ES6+)
• Deployment: Vercel (Serverless)
• Authentication: JWT, passlib, python-jose
• Data Sources: NASA, SpaceX, Launch Library, Open Notify, and more reliable space APIs.

⚙️ Getting Started

Prerequisites

• Python 3.8+
• Vercel Account & Vercel CLI
• pip package manager

Local Development

1. Clone the repository:

``bash git clone https://github.com/tarun7r/antrikshGPT.git cd antrikshGPT ``

1. Set up environment variables:

Create a .env file from the sample and add your API keys. ``bash cp env.sample .env ``

• GOOGLE_API_KEY: Your Google AI API key for the LLM.
• SECRET_KEY: A secret key for JWT. Generate one with openssl rand -hex 32.

1. Install dependencies:

``bash pip install -r requirements.txt ``

1. Run the application:

The application uses a users.json file for user management. A default admin user is created with a random password on the first launch. Check the console output for the credentials. ``bash cd webapp/backend python3 main.py ``

1. Open your browser:

Navigate to http://localhost:8000 to see the application in action.

🚀 Demo Queries

Try these queries to see the system's capabilities:

• "Where is the ISS right now?"
• "What's the next SpaceX launch?"
• "What's the weather like on Mars?"
• "Who is currently in space?"
• "Show me recent photos from the Mars rover."
• "Tell me about black holes."

📁 Project Structure

antrikshGPT/
├── api/
│   └── index.py            # Vercel serverless function entrypoint
├── config/
│   └── settings.py         # Configuration and API keys
├── shared/
│   ├── langchain_agent.py  # Core AI agent
│   └── space_apis.py       # Space API integrations
├── webapp/
│   ├── backend/
│   │   └── main.py         # FastAPI server
│   └── frontend/           # Static frontend files
├── requirements.txt        # Python dependencies
├── users.json              # Simple user database
├── vercel.json             # Vercel deployment configuration
└── README.md

📜 License

This project is open-source and available under the [MIT License](LICENSE).

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Built with a passion for space exploration and AI innovation.

"ऋतं सत्यं परं ब्रह्म।" - "Cosmic order (ṛta) and truth (satya) are the supreme Brahman."

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: tarun7r
• Source: tarun7r/antrikshGPT
• License: MIT
• Homepage: https://antrikshgpt.vercel.app

Install and usage instructions live in the source repository linked above.