This project provides an end-to-end AI-based communicational healthcare assistant to predict diseases, suggest medicines (including Ayurveda and home remedies), and even facilitate emergency transport and video consultation. The aim is to offer an affordable, accessible, and semi-automated diagnostic tool, especially useful in rural and underserved areas.
Below is a summarized explanation of the flow chart represented in the system:
-
Patient Input:
- A user (patient) provides either:
- Symptoms indicating a seasonal disease.
- Multiple symptoms indicating a multi-symptom disease.
- Their thoughts/feelings about the illness.
- A user (patient) provides either:
-
AI & ML Processing:
- A Machine Learning model detects seasonal diseases and outputs Ayurvedic Medicines, Exercises, and Home Remedies.
- For multi-symptom or complex cases, the system uses an AI Model to predict the likely disease using patient inputs and emotional data.
-
Prediction Verification:
- The Predicted Disease is verified by:
- A Final Year Medical Student, who suggests appropriate medicine.
- The process is then double-verified by a Certified Doctor, validating patient thoughts, predicted illness, and suggested medication.
- The Predicted Disease is verified by:
-
User Assistance & Integration:
- Medicines are displayed to the patient.
- Integration with:
- Pharmacy App to order medicines.
- Ola App for emergency transport.
- Video Call Appointment system if further consultation is required.
You can find the system architecture diagram
The project is live at:
👉 https://sumitrathor.rf.gd/medi-mind/
| Role | Password | |
|---|---|---|
| Student | sumitrathor142272@gmail.com | Sumit@123 |
| Doctor | rathorsumit486@gmail.com | Sumit@123 |
| Patient | hackwhalla@gmail.com | Sumit@123 |
This project was ideated and developed by:
- Adarsh Goyal
- Sumit Rathor
- Himanshu Singh Kyariya
Special thanks to all contributors and open-source libraries used.
This system can evolve into a scalable health-tech startup serving the following sectors:
- Rural & Remote Areas: Where doctor availability is limited, AI and final-year med students bridge the gap.
- Low-cost Healthcare Services
- Subscription-based Health Services
- Subscription for Doctors: Premium profiles + patient reviews
- Subscription for Patients
- Income from Affiliated Pharmacy Stores
✅ Early detection of diseases using AI
✅ Reduces the burden on healthcare professionals
✅ Offers affordable and scalable medical support
✅ Promotes Ayurveda and home-based remedies
✅ Emergency support via transport integration
✅ Increases healthcare accessibility in underserved areas
✅ Easy integration with pharmacy apps for medicine delivery
✅ Step-by-step verification ensures high diagnostic accuracy
This project is currently under academic/prototype development.
Licensing will be decided upon commercialization.