⚠️ Note
This repository is a public showcase of the VaidyaTek: Healthcare Management System.
It includes the deployment links and project details, but does not contain the actual source code.💌 If you are an HR or interested in exploring this project further, please contact:
📧 adarsh03chaubey@gmail.com
VaidyaTek is an AI-powered healthcare platform developed as a Hackathon Project.
It bridges patients, doctors, labs, and pharmacies into one seamless ecosystem — featuring a unique AI Skin Disease Detection System.
“Your Health, Our Innovation” — delivering smart, patient-centric healthcare with AI and real-time insights.
VaidyaTek redefines digital healthcare by offering:
- AI-powered diagnosis and skin analysis
- Smart appointment booking (online/offline)
- Video consultations
- Lab test booking & medicine purchase
- Awareness dashboard for outbreaks
- Secure wallet and transparent refunds
Together, it makes healthcare faster, smarter, and more accessible.
| ❌ Challenge | 💡 Description |
|---|---|
| Long wait times | Patients face delays due to poor scheduling. |
| Specialist availability | Hard to find trusted doctors, labs, or pharmacies nearby. |
| Payments & refunds | No standardized or transparent system. |
| Awareness gap | Lack of updates on real-time disease outbreaks. |
| Preventive care | Expensive and hard to access for common users. |
A unified digital healthcare ecosystem that empowers every stakeholder:
✅ AI Diagnosis & Skin Disease Detection – Instant ML-based health checks using EfficientNet-B1 and OpenCV.
✅ Smart Appointments – Book online/offline visits and video consultations in real time.
✅ Lab & Pharmacy Access – Book lab tests, upload reports, and purchase medicines.
✅ Awareness Dashboard – Stay updated with live viral alerts and prevention tips.
✅ Secure Wallet & Refunds – Razorpay integration for safe transactions and instant refunds.
✅ Verified Doctor Onboarding – Only authenticated and trusted professionals onboarded.
| 👥 User Type | 🌟 Benefits |
|---|---|
| 👩⚕️ Patients | Fast access to doctors, AI skin checks, medicine ordering. |
| 👨⚕️ Doctors | Balanced schedules, verified onboarding, AI support. |
| 🏥 Labs/Pharmacies | Digital visibility and direct access to patients. |
| 🛠️ Admins | Centralized control over users, payments, and reports. |
| Layer | Technologies |
|---|---|
| Frontend | React.js, Tailwind CSS, Axios, HTML, CSS, JavaScript |
| Backend | Node.js, Express.js, WebRTC, Socket.io |
| Database | MongoDB, Cloudinary |
| AI / ML | Python, PyTorch, OpenCV, EfficientNet-B1, NumPy, Matplotlib |
| Payments | Razorpay |
| Security | Bcrypt, JWT |
| APIs | Google Maps, Gemini |
- 🔗 Frontend (User Portal): https://vaidyatek-frontend.onrender.com/
- 🔒 Admin & Doctor Panel credentials are kept private for security reasons.
| Name | Role |
|---|---|
| 🧠 Adarsh Chaubey | Team Lead |
| 💻 Aditya Laxkar | Developer |
| 🎨 Sakshi Gupta | Developer |
| 🔧 Abhishek Chauhan | Developer |
Thank you for exploring VaidyaTek!
Built with innovation and empathy, this project aims to make healthcare intelligent, accessible, and human-centered — integrating AI-driven diagnosis with real-time healthcare connectivity.