CLIFF / Web · Academic research
Making the reasoning visible.
An exploration of multiple AI perspectives for medical image analysis, built as a semester project.
Why I made it
For my fifth-semester major project, I wanted to explore how several AI models could examine the same image, and how their individual reasoning could be made easier to compare.
What it does
The Clinical Learning and Findings Framework sends an image to several vision models, brings their candidate findings together, and shows the individual outputs alongside an aggregated result. Analysis history keeps the process traceable.
The details I cared about
I designed the web interface around a clear upload-to-analysis flow, readable results, and access to the reasoning behind them. It is an academic exploration, not a clinically validated diagnostic tool.
These screens use a fictional local sample and illustrative outputs. No diagnostic model was run for the screenshots; CLIFF is an academic prototype, not a clinically validated tool.
A closer look.
Select an image to explore.