GPS INTERFERNCE

In this proejct I am using AIRPLANES.LIVE ADS-B REST API to create database from which it is then possible to view airplanes which are experiencing GPS interference & the option to traingualte the locartion of the GPS jammer itself

Airplanes who register low GPS accuracy

Using radio horizon to determine possible location of GPS jammer

Flight Data Collector

This repository contains a Python application for collecting and storing flight data from an external API. The data is processed and stored in a MySQL database, leveraging SQLAlchemy for ORM (Object Relational Mapping) and Flask for the web framework.

Table of Contents

• Features
• Setup
• Usage
• Contributing
• License

Features

• API Integration: Fetches flight data from the Airplanes Live API.
• Database Storage: Uses SQLAlchemy to interact with a MySQL database.
• Data Processing: Collects and processes flight data, including geolocation information.
• Scheduled Data Collection: Utilizes APScheduler to schedule regular data collection intervals.
• Web Framework: Runs a Flask application to manage and schedule data collection.

Setup

Prerequisites

• Python 3.8+
• MySQL Database
• Required Python packages (see requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/flight-data-collector.git
   cd flight-data-collector

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python jammer2.py

Usage

Running the Flask Application

To start the Flask application, ensure you have configured the database connection correctly and then run:

python jammer2.py

The application will start and schedule the data collection job to run every 30 seconds.

API Call

The api_call function fetches flight data for a specified latitude, longitude, and radius:

api_call(lat=59.530270, lon=29.458939, radius=750)

Data Collection

The collect_data function collects flight data from the API and processes it to store in the database.

Contributing

We welcome contributions! Please fork the repository and submit a pull request with your changes. Ensure you follow the coding guidelines and include tests for new features or bug fixes.

License

This project is licensed under the MIT License - see the LICENSE file for details.