A web application that predicts Dry Lightning globally based on a searched map location. The frontend is built with CSS and the backend is a Flask API powered by a gradient boosting model.

Built by krishsakthivel (Krish Sakthivel), codersushi (SushiTheCoder), and sumeete123 (summete) for the 2026 WeatherWise Hackathon!

strikerisk/
├── templates/
│   └── index.html
├── app.py                 Routes and server
├── model.pkl              Trained model
├── features.pkl           Trained model for features
├── requirements.txt
├── README.md
├── build_dataset.py
└── train_model.py