AI-powered health assistant that provides personalized recommendations for diet, workout, and medication! 🤖🩺
The Medical Recommendation System is an AI-powered healthcare assistant that offers personalized health guidance based on symptoms and severity levels. It helps users with:
✅ Symptom Severity Analysis
✅ AI-Based Medication & Treatment Recommendations
✅ Personalized Diet Plans
✅ Custom Workout Routines
✅ Continuous AI Learning & Adaptation
With machine learning & real-time AI adaptation, the system evolves over time, ensuring optimized, data-driven healthcare guidance. 🌍💙
📸 Here's a preview of the system in action:
Here’s how the Medical Recommendation System works in action! 📊
🔹 The user provides symptoms like fever, cough, headache, etc.
🧠 The AI matches symptoms with medical data and assigns a severity level.
💊 Based on the severity level, the system suggests:
✅ Medications (e.g., Paracetamol for mild fever)
✅ Diet Plan (e.g., More vitamin C-rich foods)
✅ Workout Plan (e.g., Light walking if mild symptoms)
📢 The results are displayed in an interactive dashboard, showing:
📌 Health Status – Normal, Moderate, or Severe
📌 Treatment Advice – Medications & lifestyle changes
📌 Progress Tracking – AI learns from user feedback
📸 Example Output Screenshot:
🩸 Users can input symptoms, and the system analyzes severity levels to determine urgency and possible conditions.
⚕️ Receive tailored medical advice, including medications, treatments, and lifestyle changes.
🧑⚕️ AI-powered meal plans aligned with health conditions, promoting better nutrition and overall well-being.
💪 Receive safe and effective workouts tailored to your medical conditions and fitness level.
🧠 The system improves over time, learning from user feedback, medical research, and real-world data.
Ensure you have Python installed, then install the required libraries:
python get-pip.py
pip install numpy pandas flask scikit-learn scipy matplotlib📌 Required Libraries & Their Usage:
| 📚 Library | 🏥 Purpose |
|---|---|
| NumPy | Mathematical & numerical operations 📊 |
| Pandas | Data analysis & handling patient info 🏥 |
| Flask | Web framework for UI 🌐 |
| Scikit-learn | Machine learning algorithms 🤖 |
| SciPy | Advanced statistical methods 📉 |
| Matplotlib | Data visualization 📊 |
git clone https://github.com/FNICKE/Medical-Recommendation.git
cd Medical-Recommendationpython app.pyNow, open http://127.0.0.1:5000/ in your browser to access the system.
| 🚀 Technology | 🩺 Purpose |
|---|---|
| Python 🐍 | Backend & AI model integration |
| Flask 🌐 | Web framework for UI |
| Scikit-learn 🤖 | Machine learning algorithms |
| Pandas & NumPy 📊 | Data processing and analysis |
| SciPy 📉 | Advanced statistical methods |
| Matplotlib 📊 | Data Visualization |
1️⃣ Start the System – Launch the application and open the web interface.
2️⃣ Enter Symptoms – Input your medical symptoms and details.
3️⃣ Receive AI Recommendations – Get diet, workout, and medication suggestions instantly.
4️⃣ Give Feedback – Help refine AI accuracy with your feedback.
✅ Wearable Device Integration ⌚ – Sync with smartwatches & fitness trackers.
✅ AI-Powered Virtual Doctor 🤖 – Chatbot for quick medical advice.
✅ Multi-language Support 🗣️ – Healthcare access for global users.
✅ Mobile App Development 📱 – Expand via iOS & Android apps.
✅ Blockchain-Based Health Records 🔐 – Secure, decentralized medical data.
🚀 Passionate about AI in healthcare? Join us in revolutionizing personalized medical assistance!
🔹 Fork & Star this repo to support development.
🔹 Submit Pull Requests to contribute.
📧 Email: rathodsachin0766@gmail.com
🔗 GitHub: FNICKE
🔗 LinkedIn: Sachin Rathod
📢 Your health, your data, your control! Let’s innovate healthcare together! 🚀💙