HealthTrackAI is a full-stack AI-powered application that analyzes text, images, audio, and documents to generate structured and personalized health insights.
The project demonstrates how multimodal AI can be integrated into a real web product with a clean UI, secure backend, and responsible AI usage.
https://ai.studio/apps/drive/1l7b1dG4a-hxZfNuoW64kyabcRonFnwUB
https://youtu.be/qJBWB4I5ECM
These links demonstrate:
- Multimodal AI processing (text, image, audio, and documents)
- End-to-end user workflow
- AI-generated structured health insights
Health-related data is fragmented across multiple formats:
- Medical text reports and notes
- Images (scans, photos)
- Audio recordings
- PDF and document files
Most applications fail to analyze these inputs together in a unified, user-friendly, and accessible way.
HealthTrackAI provides:
- A single interface to upload multimodal health data
- AI-powered analysis across multiple input types
- Structured, readable, and explainable health insights
- A clean dashboard to visualize results
- Text analysis (medical notes, symptoms)
- Image analysis (health-related images)
- Audio processing (voice notes)
- Document analysis (PDF reports)
- AI-generated summaries and recommendations
- Secure and responsive web interface
- Uses multimodal AI models to process text, image, audio, and document inputs
- Transforms unstructured health data into structured insights
- Prompt engineering focused on clarity, safety, and usefulness
- AI outputs are designed to be explainable and easy to understand
- React / Next.js
- TypeScript
- Responsive UI components
- Node.js
- REST APIs
- File upload handling
- Input validation
- Multimodal AI models
- LLM integration
- Prompt engineering
- Simple and intuitive user flow
- Clear separation between input and results
- Loading states and progress feedback
- Accessible and readable interface
# Install dependencies
npm install
# Run the project
npm run dev