An AI-powered smart healthcare management system that combines medicine tracking, report management, real-time alerts, and antibiotic resistance prediction into one unified platform.
IITBHU-HealthCare is a full-stack healthcare solution designed to:
- Manage medicines and schedules
- Store and access medical reports
- Provide real-time alerts (expiry, low stock)
- Integrate AI for antibiotic resistance prediction
- Help users find nearby medical stores using maps
This project was developed for the IIT BHU Hackathon.
- Built using Python (Google Colab)
- Dataset sourced from Kaggle (provided in hackathon brief)
- Predicts antibiotic resistance levels
- Accuracy: 90.57%
- Confidence Level: 99.5%
- Predicts effectiveness of antibiotics
- Assists in better treatment decisions
- Provides confidence-based outputs
The AI model is fully integrated into the web application, enabling:
- Real-time predictions
- Backend API communication
- Direct display of results on UI
- Dynamic Sign In / Sign Up interface
- Smooth UI transitions and animations
- Multi-user support
- Add / edit profiles //
- Add medicines with:
- Name
- Dosage
- Instructions
- Schedule (Morning / Afternoon / Evening / Night)
- Duration
- Maintain structured medicine inventory
- Low stock alerts
- Expiry warnings
- Restock suggestions
- Real-time notifications
- Upload reports (PDF / Images)
- Centralized storage
- Easy access anytime
- Medicine tracking overview
- Weekly adherence tracking
- Inventory insights
- Integrated with Google Maps API
- Shows nearby pharmacies
- One-click navigation
- Answers medical-related queries
- Acts as a quick support assistant
- React.js / Next.js
- Tailwind CSS
- Python (FastAPI / Flask)
- REST APIs
- Scikit-learn
- Pandas, NumPy
- Jupyter Notebook (Colab)
- Google Maps API
- Gemini AI API
User Input → Backend API → AI Model → Prediction → UI Display
- Improves medication adherence
- Prevents use of expired medicines
- Provides AI-driven healthcare insights
- Centralizes personal healthcare management
- Integration with hospitals & doctors
- Real-time telemedicine support
- Wearable health data integration
- Advanced disease prediction models
- Combines AI + Full Stack Application
- Real-world healthcare problem solving
- Fully functional prototype
- Scalable and practical solution
- Debendra Nath Bandyopadhyay
- Kaustav Halder
- Anchal Singh
- Aman Kumar Singh
- Team Members (IIT BHU Hackathon)
This project was built as a part of a hackathon and demonstrates the integration of AI into a real-world healthcare system.