Cyclone Watch

Cyclone Watch is a machine learning-powered web application for predicting cyclone intensity from satellite images. Built with Django and TensorFlow, it provides a simple interface to upload images and receive predictions.

Features

• Upload satellite images to predict cyclone intensity
• REST API support
• Admin dashboard (Django)
• Docker support for easy deployment

Quick Start

Requirements

• Python 3.11
• Django 4.2
• TensorFlow 2.12
• See requirements.txt for full dependencies

Setup & Run

Clone the repository and install dependencies:

pip install -r requirements.txt
python manage.py migrate
python manage.py runserver

Or use Docker:

docker build -t cyclone-watch .
docker run -p 8000:8000 cyclone-watch

Access the app at http://localhost:8000

Usage

1. Open the web interface
2. Upload a satellite image (JPG/PNG)
3. View predicted cyclone intensity

Project Structure

• intensitymodel/ - ML prediction logic and Django app
• rest_api/ - REST API endpoints
• media/ - Uploaded images
• model.h5 - Pre-trained ML model
• Dockerfile - Container setup

License

MIT License

Author

HimanshuxD79