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DeepFake Image Detection System Using Deep Learning
Objective
The system is deployed as a Flask-based web application, allowing users to upload images through a simple interface. Uploaded images are preprocessed using OpenCV, resized, normalized, and passed to the trained model for prediction. The application outputs the classification result (REAL or FAKE) along with a confidence score, making the detection process transparent and user-friendly.
This project helps address the growing concern of digital misinformation by providing an automated and efficient solution for deepfake detection.
Tech Stack
CSS
Flask
HTML
Python
tensorflow
Project File Includes
- Complete Source Code
- Structured MySQL Database (.sql - if applicable)
- Comprehensive Project Report (DOC/PDF)
- Presentation Slides (PPT)
- Step-by-Step Installation Guide