This repository contains the code for a simple weather forecasting app developed through a series of blogs.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Ensure you have Python 3.x installed on your system. You will also need pip, which is included in most Python distributions.

To get started, clone this repository to your local machine using git clone https://github.com/your_username/weather-forecasting-app.git

Navigate into the repository using cd weather-forecasting-app

Install the necessary packages using pip:

pip install -r requirements.txt

To run the app, first start the backend:

python backend/app.py

Then open frontend/index.html in your browser.

The backend of the app is built with Python. It fetches real-time weather data, preprocesses a dataset, trains a machine learning model for weather prediction, and uploads the data to AWS S3.

The front end is a simple web page built with HTML, CSS, and JavaScript.

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

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