Machine learning
Vinland healthcare prototype
A collaborative hackathon prototype bringing thirteen health-related ML models into an authenticated Django application.
Overview
Bringing several health-model demonstrations into one interface
Vinland is a collaborative hackathon prototype that brings thirteen health-related machine-learning demonstrations into an authenticated web application. It explores how different prediction and image-classification tasks can share an accessible interface.
I worked with Krish Yadav, Gaurav Patel, SwakshWar Ghosh, and Prakriti Verma. The application is a prototype for exploring model integration, not a clinically validated diagnostic service.
Technical detail
Django apps organise the interface and authentication, while separate model modules handle individual inference workflows. The project combines PyTorch and TensorFlow models across tabular prediction and image-classification tasks.
The engineering challenge is connecting varied model inputs and outputs to consistent application routes and templates while keeping each inference workflow separate.