Near-Earth Objects Hazard Monitor 🌍☄️

Project Overview

The Near-Earth Objects Hazard Monitor is a web application designed to monitor and analyze potentially hazardous near-Earth objects (NEOs). The application provides real-time data visualization of NEOs, including their relative velocities, miss distances, and other relevant metrics. It aims to enhance public awareness and scientific understanding of NEOs that could pose a threat to Earth.

Features

• Real-time Monitoring: Fetches and displays real-time data on NEOs from NASA's API.
• Dynamic Visualization: Utilizes interactive plots to visualize the relationship between miss distance and relative velocity of hazardous objects.
• Threshold Analysis: Implements threshold lines to easily identify objects that exceed defined safety limits.
• Historical Data Tracking: Maintains a history of detected hazardous objects for analysis over time.

Technologies Used

• Backend:

  • Flask: A lightweight WSGI web application framework for Python, used to create the API that serves NEO data.
  • Pandas: A data manipulation library for Python, used to handle and process data.
  • NumPy: A library for numerical computations in Python, used for generating random data and calculations.
  • Requests: A simple HTTP library for Python, used to make API calls to NASA's data sources.

• Frontend:

  • Streamlit: An open-source app framework for Machine Learning and Data Science projects, used to create the web interface for the application.
  • Plotly: A graphing library for Python, used to create interactive plots and visualizations.

Installation

1. Clone the Repository:

   git clone https://github.com/shobhitpachauri/NASA-Near-Earth-Object
   cd NASA-Near-Earth-Object

2. Set Up the Backend:

   • Navigate to the backend directory.
   • Install the required packages:

     pip install -r requirements.txt

   • Run the Flask application:

     python app.py

3. Set Up the Frontend:

   • Navigate to the frontend directory.
   • Install the required packages:

     pip install -r requirements.txt

   • Run the Streamlit application:

     streamlit run app.py

Usage

• Open your web browser and navigate to http://localhost:8501 to access the Near-Earth Objects Hazard Monitor.
• The application will display real-time data on hazardous NEOs, including a threshold plot and metrics for analysis.

Future Enhancements

• Integrate additional data sources for more comprehensive analysis (e.g., meteorite landings, fireball events).
• Implement user authentication for personalized data tracking.
• Enhance the user interface for better usability and aesthetics.

Acknowledgments

• NASA for providing the data APIs.
• The open-source community for the libraries and frameworks used in this project.