About
Research Meets Implementation
This project brings together student-led AI model development and practical software engineering. M.Tech students work on the underlying machine learning logic, while the platform provides a web interface for presenting and interacting with the models.
The project is an academic practical training exercise. It combines AI/ML model development, medical image analysis and screening-oriented applications, and the frontend, backend, and integration work needed to make trained models usable through a web application.
The platform is intentionally small in scope. It communicates only what actually exists: the models that have been developed, the interfaces built around them, and the areas planned for future exploration. Nothing on this site represents clinical validation, regulatory approval, or real-world deployment.
A note on scope
Everything presented here is a research and educational prototype. It is not a medical service and is not a substitute for professional medical diagnosis.