Multiple Disease Prediction System

Access the Web App

You can access the Multiple Disease Prediction System web app from anywhere within the internet by following this link: Multiple Disease Prediction Web App. https://multiple-disease-prediction-system-14.streamlit.app/

1. Project Title

Welcome to the Multiple Disease Prediction System! This project is designed to help predict various diseases, including heart conditions, diabetes, and Parkinson's disease, using machine learning algorithms. Our goal is to provide a tool that can assist healthcare professionals and individuals in early disease detection and management.

2. Description

The Multiple Disease Prediction System is a sophisticated software application that leverages machine learning techniques to analyze a variety of health-related data and predict the likelihood of specific diseases. Early disease prediction is crucial for timely intervention and improving patient outcomes, and this system aims to make this process more accessible and accurate.

Objectives:

• To develop a user-friendly interface for disease prediction.
• To provide accurate predictions based on user-provided data.
• To assist healthcare professionals in diagnosing and managing diseases.
• To promote proactive health monitoring and disease prevention.

Diseases It Can Predict:

• Heart Conditions: Including heart disease, arrhythmias, and coronary artery disease.
• Diabetes: Both type 1 and type 2 diabetes.
• Parkinson's Disease: A neurodegenerative disorder affecting movement and coordination.

3. Features

Key Features:

• User-Friendly Interface: An intuitive web-based interface for users to input their health data.
• Machine Learning Models: Advanced algorithms that analyze the data and make disease predictions.
• Accurate Results: The system provides accurate predictions with high reliability.
• Data Privacy: Ensures the privacy and security of user data.
• Customizable Alerts: Users can set up alerts for regular health check-ins.
• Healthcare Professional Integration: Enables healthcare professionals to access and interpret the predictions.

4. Installation

To run the Multiple Disease Prediction System locally, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/shagunsharma14/multiple-disease-prediction-system.git

2. Navigate to the project directory:

   cd multiple-disease-prediction-system

3. Set up a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use: venv\Scripts\activate

4. Install the required dependencies:

   pip install -r requirements.txt

5. Run the application:

   python app.py

6. Access the application in your web browser at http://localhost:5000.

5. Usage

Using the Multiple Disease Prediction System is straightforward:

1. Open the application in your web browser.

2. Input your health data as requested by the system.

3. Select the disease you want to predict (e.g., Heart Conditions, Diabetes, or Parkinson's Disease).

4. Click the "Predict" button.

5. The system will generate a prediction and display the results along with any recommended actions or alerts.

6. License

This project is licensed under the MIT License - see the LICENSE file for details. Feel free to use, modify, and distribute this software for both personal and commercial purposes while respecting the terms of the license.