Credit Card Fraud Detection with Visual Transaction Pattern Analysis
Describe what your project does?
This project detects fraudulent credit card transactions by combining machine learning models with visual sequence pattern tracking using VideoDB. We use VideoDB to generate visual timelines of transaction flows and detect anomalies through video-based insights. This helps in uncovering fraud scenarios that may not be obvious in tabular formats.
Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used (including VideoDB), challenges faced, and how you improved your solution — make sure the link is viewable