Interactive Orrery Web App for Celestial Bodies and Space Debris Prediction

Project Overview

This project is part of a NASA hackathon, aimed at developing an interactive orrery web app that displays various celestial bodies, including planets, Near-Earth Asteroids (NEAs), Near-Earth Comets (NECs), and Potentially Hazardous Asteroids (PHAs). The web app also integrates a high-performance API service to predict space debris movements and potential collisions in real-time.

By addressing the growing issue of space debris, this app provides a powerful tool to help protect critical space infrastructure, ensure the safety of future space missions, and support the sustainable use of Earth’s orbits.

Key Features

• Interactive 3D Visualizations: Real-time display of planets, NEAs, NECs, and PHAs with zoom-in and zoom-out functionality.
• API for Space Debris Prediction: An API service that predicts debris movement and potential collisions using orbital mechanics.
• Detailed Information: Select celestial bodies to get detailed data like their speed, orbit, and proximity to Earth.
• Embeddable: The web app can be easily embedded on any webpage.
• Responsive Design: Accessible on both desktop and mobile devices.

Tech Stack

• Serverless app: Next.js – for client-side rendering andoptimized performance.
• Data Visualization: recharts for the graphs and Three.js for rendering celestial objects in 2D/3D.
• Data Source: NASA's databases for accurate real-time data on celestial bodies.

Installation To run the project locally, follow these steps:

1. Clone the Repository

   git clone
   https://github.com/Stan-breaks/spaceapp.git 
   cd orbital 

2. Install Dependencies Make sure you have Node.js installed. Then, run the following command: bash npm install

3. Start the Development Server Start the server and launch the app in development mode: bash npm run dev Open https://spaceapp-self.vercel.app to view the app in your browser.

Usage

1. Interactive Orrery: Use the app to visualize celestial

objects by zooming in and out. Select an object to view more information.

Future Improvements

• Machine Learning Integration: Leverage machine learning models to improve prediction accuracy for space debris movements.
• Create more visual appealing Bodies: Enhancing the graphics of the web app; making the celestial bodies more visually appealing.

Contributing We welcome contributions from the community! Please fork

this repository, create a feature branch, and submit a pull request with your changes.

License This project is licensed under the MIT License. See the

LICENSE file for more details.