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A detection tool that analyses faces in images and videos and estimates whether they were generated or manipulated by AI, highlighting suspicious regions.
Problem Statement
Deepfakes are used for fraud, harassment, and misinformation, and most people cannot spot them by eye.
Objectives
Extract faces from images and video frames
Train a deepfake classification model
Visualise manipulated regions
Provide an easy upload and report interface
Modules
Face Extraction
Face detection and alignment across frames.
Detection Model
CNN or vision transformer classifier.
Explanation Maps
Heatmaps of regions that influenced the decision.
Web Interface
Upload, frame-by-frame scores, and final verdict.
Expected Output
A web app where an uploaded video receives a manipulation probability and a heatmap of suspicious areas.
Future Scope
Audio deepfake detection, browser extension, and real-time video call checks.