Kite Motion Dataset Generator

A web application for generating synthetic kite motion datasets with realistic statistical properties for machine learning and data analysis.

Live Demo

Visit the live application: Kite Motion Dataset Generator

Features

• Generate synthetic kite motion datasets with configurable row counts
• Statistical properties based on real-world kite flight data
• Download generated datasets as CSV files
• Interactive UI with dataset preview
• Parameter statistics visualization

Dataset Parameters

The generator includes the following parameter types:

• Base Parameters: Yaw, Pitch, Roll, Altitude, Latitude, Longitude, Calibration values, Wind speed
• Synthetic Parameters: Temperature, Humidity, Pressure, and other environmental factors

How It Works

The application uses the Box-Muller transform to generate normally distributed values with statistical properties (mean, standard deviation, min, max) derived from real kite motion data. Values are clipped to maintain realistic bounds.

Technologies Used

• React.js
• CSS with modern animations and responsive design
• Lucide React for icons

Local Development

1. Clone the repository

git clone https://github.com/StrataMind/Kite-Motion-Dataset-Generator.git

2. Install dependencies

cd kite-dataset-generator
npm install

3. Start the development server

npm start

4. Build for production

npm run build

Deployment

The application is deployed using GitHub Pages. To deploy updates:

npm run deploy

License

MIT