DiseaseOutBreakPredictor

Overview

DiseaseOutBreakPredictor is a project aimed at predicting potential disease outbreaks using data analytics and machine learning. This tool can assist in early detection and prevention, helping communities prepare for and mitigate the impact of outbreaks.

Features

Predictive Analytics: Forecast potential disease outbreaks based on historical data. Interactive Dashboard: Visualize trends and predictions with an easy-to-use interface. Customizable Models: Adjust and fine-tune prediction parameters for your specific needs. Technologies Used HTML: For structuring and designing the user interface. Python: For backend processing, data analysis, and machine learning. Installation Follow these steps to set up and run the project locally:

Clone the repository:

bash

git clone https://github.com/SyedUzaiir/DiseaseOutBreakPredictor.git Navigate to the project directory:

bash cd DiseaseOutBreakPredictor Install the required dependencies: bash pip install -r requirements.txt Run the application: bash python app.py Usage Open the application in your browser (default: http://localhost:5000). Upload or select a dataset for analysis. View predictions and trends on the dashboard. Contributing Contributions are welcome! Please follow these steps to contribute:

Fork the repository. Create a new branch for your feature or bug fix. bash git checkout -b feature/YourFeatureName Commit your changes and push to your forked repository. Submit a pull request explaining your changes. License

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