Welcome to the Medical Recommendation System, a simple yet powerful web-based medicine recommendation platform designed to assist doctors and support patients by providing relevant medicine suggestions based on symptoms or input data. This project combines Flask backend with modern web technologies to deliver a responsive and interactive healthcare experience.
In today's fast-paced world, quick and reliable medical guidance is essential. This project aims to:
- Help doctors make quicker preliminary decisions
- Provide patients with basic awareness about common symptoms
- Recommend suitable medicine names based on input
- Serve as a starting point for integrating AI-based diagnostics in the future
- Support telemedicine and rural diagnosis
- Educational tool for aspiring medical technologists
| Feature | Description |
|---|---|
| 🩺 Symptom-Based Recommendations | Input symptoms and receive relevant medicine suggestions |
| 👨⚕️ Doctor Support Tool | Assists healthcare professionals with preliminary decisions |
| 👥 Patient Awareness | Provides patients with basic awareness about common symptoms |
| 📱 Responsive Design | Bootstrap-powered interface that works across all devices |
| 📊 Interactive Interface | Clean, user-friendly web interface built with modern technologies |
| ⚡ Flask Backend | Python Flask framework for reliable server-side processing |
| 🎯 Beginner-Friendly | Simple implementation perfect for learning and development |
| 🏥 Healthcare Applications | Useful for telemedicine and rural diagnosis support |
- Frontend: HTML, CSS, JavaScript, Bootstrap
- Backend: Python (Flask Framework)
- Development Environment: PyCharm (Recommended)
- Web Technologies: Responsive design with Bootstrap CSS framework
Medical-Recommendation-System/
├──.idea/
├──Dataset/
├── Static/ # CSS, JavaScript, and static assets
├── Templates/ # HTML templates for Flask web interface
├── Models/
├── Main.py # Flask application entry point
├── README.md # Project documentation
└── [Other files] # Additional project components- Python 3.7+
- PyCharm IDE (Highly Recommended)
- Virtual environment (recommended for best practices)
- 📥 Clone the Repository
git clone https://github.com/Lucky920487/Medical-Recommendation-System.git
cd Medical-Recommendation-System-
🔧 Open in PyCharm
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Launch PyCharm IDE
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Open the project folder in PyCharm
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Set up a virtual environment within PyCharm
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📦 Install Dependencies
pip install flask
# Install any additional dependencies as required- 🚀 Run the Application
python Main.py- 🌐 Access the System Open your browser and navigate to the local development server (typically http://localhost:5000)
- Access the Web Interface – Users open the web application in their browser.
- Input Symptoms – Enter symptoms or medical conditions into the system.
- Get Recommendations – Receive relevant medicine suggestions based on the input.
- Review Results – View the recommended medicines with relevant information.
- Educational Use – Learn about common symptoms and their treatments.
Critical Notice: This is a beginner-level project and does NOT replace professional medical advice.
Always consult certified doctors for critical care and medical decisions.
This tool should be used for:
- Educational purposes
- Preliminary guidance only
- Learning about medical technology
- Supporting telemedicine initiatives
- Telemedicine: Remote healthcare delivery with basic diagnostic support
- Rural Diagnosis Support: Assisting healthcare workers in areas with limited resources
- Learning Tool: Educational resource for aspiring medical technologists
- Quick Reference: Preliminary guidance for common symptoms
- Healthcare Technology Education: Understanding medical recommendation systems
- Open PyCharm and select "Open Project".
- Navigate to the cloned repository folder.
- Configure Python interpreter and virtual environment.
- Install Flask and other dependencies via PyCharm terminal.
- Run
Main.pydirectly from the IDE.
# Create virtual environment
python -m venv medical_env
source medical_env/bin/activate # On Windows: medical_env\Scripts\activate
# Install dependencies
pip install flask
# Run the application
python Main.py- Flask Not Starting: Ensure Python 3.7+ and Flask are properly installed.
- PyCharm Issues: Verify virtual environment is correctly configured.
- Port Conflicts: Check if port
5000is available or modify inMain.py. - Template Errors: Ensure
templates/directory exists with HTML files. - Static Files Not Loading: Verify
static/directory contains CSS and JS files.
We welcome contributions from the community! This project is perfect for:
- Healthcare technology enthusiasts
- Medical students and professionals
- Python/Flask developers
- Anyone interested in healthcare applications
How to Contribute:
- Fork the Repository
- Create a Feature Branch:
git checkout -b feature/your-feature-name
- Make Your Changes
- Commit and Push:
git commit -m "Add: your descriptive message" Submit a Pull Request - Submit a Pull Request
For feature suggestions or improvements, open an issue on GitHub.
Let's build something meaningful together! 💡
- Integration of machine learning models for better accuracy
- Database integration for storing user data and recommendations
- Advanced symptom analysis algorithms
- Mobile application development
- Multi-language support
- Real-time consultation features
- API development for third-party integrations
Lucky Kumari
Aspiring Data Scientist with passion for Healthcare Technology ❤️
🔗 GitHub: @Lucky920487
This project is open-source and available for educational and development purposes.
Feel free to use, modify, and distribute with proper attribution.
- Thanks to the open-source community for inspiration and support
- Special appreciation for healthcare professionals who guide medical accuracy
- Built for the healthcare technology learning community
- Powered by Flask, Bootstrap, and modern web technologies
- 🐛 Found a Bug? Open an issue
- 💡 Have Ideas? We'd love to hear your suggestions!
- 🤔 Need Help? Check the documentation or reach out
- 🌟 Enjoyed the Project? Give it a star on GitHub!