Inspiration
Joint pain and sports injuries are increasing rapidly, especially among young adults and working professionals. As an orthopedic specialist, Dr. Abhishek Gupta observed that many patients delay diagnosis, which leads to serious complications. This inspired the idea of creating a smart, AI-powered platform that helps people identify joint problems early and take the right action.
What It Does
OrthoCare Jaipur is an AI-powered platform designed for early detection and smart recovery of joint and sports injuries. It allows users to:
- Analyze symptoms related to knee, shoulder, and joint pain
- Get AI-based suggestions for possible conditions
- Access personalized recovery and exercise plans
- Understand when to consult a specialist
The platform aims to bridge the gap between symptoms and timely medical care.
How We Built It
We used modern technologies to build a scalable and user-friendly solution:
- Frontend: React for smooth and responsive UI
- Backend: Node.js and Firebase for real-time data handling
- AI Integration: TensorFlow and OpenAI API for intelligent symptom analysis
- Cloud: Google Cloud for hosting and scalability
Challenges We Faced
One of the biggest challenges was balancing medical accuracy with simplicity. Ensuring that the AI suggestions are helpful yet easy to understand for non-medical users required careful design and testing.
What We Learned
We learned how AI can play a powerful role in healthcare by improving accessibility and awareness. Combining medical expertise with technology can help people make informed decisions faster.
Future Scope
- Integration with wearable health devices
- Real-time doctor consultation feature
- Advanced AI for injury prediction
- Expansion into full digital orthopedic care ecosystem
Built With
- firebase
- google-cloud
- html
- javascript
- node.js
- openai-api
- python
- react
- tensorflow

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