🩺 AI based Healthcare System 🚑

📚 Project Overview

Welcome to the AI based Healthcare System! This project uses a machine learning model to predict possible diseases based on the symptoms entered by the user. The application leverages a Support Vector Classifier (SVC) to make predictions and provide additional information such as disease description, Wikipedia summary, precautions, medications, diet plans, and recommended workouts. 🌟

⚙️ Features

• 💡 Predict disease based on symptoms.
• 📄 Display detailed information on the predicted disease.
• 🔍 Wikipedia summary of the disease for easy reference.
• 💊 Medication recommendations for managing the disease.
Personalized diet recommendations.
• 🏋️‍♂️ Suggested workout plans for better health.
• 🛡️ Precautionary measures to follow for disease prevention.

🚀 Getting Started

To run the project locally, follow the steps below:

# Clone the repository
git clone https://github.com/OmTheWhiteHat/MRS-AI.git

# Navigate into the project directory
cd MRS-AI

# Install the required dependencies
pip install -r requirements.txt

# Run the Flask app
python main.py

📜 Technologies Used

• 🔧 Flask - Python web framework to build the web application.
• 🤖 Machine Learning - Support Vector Classifier (SVC) for disease prediction.
• 📊 Pandas - Data manipulation for the dataset.
• 📚 Wikipedia API - To fetch Wikipedia summaries of diseases.

🔧 How It Works

The user enters a list of symptoms, and the machine learning model predicts the most likely disease. After the prediction, the app displays:

• The predicted disease 🏥
• A detailed description 📖
• Wikipedia summary 🌍
• Precautions 🛡️
• Recommended medications 💊
• Suggested diet 🍽️
• Suggested workout plans 🏋️‍♂️

📈 Data

The dataset used for training the model is a collection of common diseases and their associated symptoms. It is loaded into the app using Pandas for easier processing.

🤝 Contributing

If you would like to contribute to the project, please follow these steps:

• 🍴 Fork the repository
• 🧑‍💻 Create a new branch
• 🔧 Make your changes
• 📋 Commit your changes
• 📤 Push to the branch
• 🔀 Submit a pull request

📝 License

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

💬 Contact

If you have any questions, feel free to reach out!

Email: [email protected]