M.E. Deepfake Detection Final Year Project Report

Deepfake Detection Final Year Project is a Python Flask based final year project developed for detecting fake videos and images using frequency-domain analysis and transformer-based machine learning. This major project includes a public landing page, user panel, and admin panel. Users can register, log in, upload videos, upload images, submit media for deepfake detection, view real/fake classification results, check confidence scores, review frame-level analysis, analyze frequency patterns, download PDF detection reports, manage profile, change password, submit feedback, and contact support. Admins can manage users, uploaded videos, detection requests, detection results, video categories, dataset records, ML settings, model training, system logs, login history, upload history, detection history, feedback, contact queries, daily reports, and monthly reports. This deepfake detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, Flask, PyTorch, computer vision, and machine learning.