Disease Prediction using Django and Machine Learning 🌡️🔬

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Table of Contents

• About
• Demo
• Key Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Technologies Used
• Contributing
• License

About ℹ️

This project aims to predict diseases using machine learning techniques integrated with a web application built using Django. The application allows users to input relevant medical information and, based on this data, predicts potential diseases or health conditions. This can serve as a preliminary diagnostic tool for users and help them make informed decisions about seeking medical advice.

Demo 📺

Avalilable Soon

Key Features ✨

• User-friendly web interface for entering medical data.
• Integration of machine learning models for disease prediction.
• Display of predicted diseases along with confidence scores.
• Potential for expansion with additional medical data and improved models.

Getting Started 🚀

Prerequisites 📋

• Python 3.x
• Django (version)
• Other dependencies...

Installation ⚙️

1. Clone the repository.

   git clone https://github.com/your-username/Disease-Prediction.git

2. Navigate to the project directory. cd Disease-Prediction
3. Install project dependencies. pip install -r requirements.txt
4. Run the Django development server. python manage.py runserver
5. Access the application in your web browser at http://localhost:8000.

Usage 🧑‍⚕️

Open the web application. Input relevant medical information as requested. Click the "Predict" button. The predicted diseases and confidence scores will be displayed.

Technologies Used 🛠️

Django: Backend web framework Machine Learning Libraries (e.g., Scikit-learn): Disease prediction models HTML/CSS/JavaScript: Frontend design and interactivity

Contributing 🤝

Contributions are welcome! If you have any enhancements or bug fixes, feel free to open an issue or a pull request.

License 📝

Distributed under the mrvishalg2004 License. See LICENSE for more information.