Overview
A practical ML + web app project focused on interpretable predictions.
Case Study
Fake News Detector
Built a ml model that flags potentially misleading news articles
PythonFastAPIScikit-learn
Problem
News readers struggle to quickly assess article credibility and often lack transparent trust signals.
Approach
Trained and evaluated a text classification pipeline, exposed predictions through a FastAPI service, and built a frontend for confidence breakdowns.
Outcome
Enabled fast credibility checks with clear model confidence indicators, reducing manual verification time for users.