ForgeryGuard
Not currently live
OVERVIEW
The Project
2024 / Machine Learning / Image Forgery Detection
ForgeryGuard is a web-based image authenticity checker utilizing machine learning to detect and highlight forged areas in images. It supports multiple formats and performs automated analysis to ensure content integrity without manual input.
Key Features
Automated Forgery Detection
Heatmap Highlight Visualization
Multi-format Support
High Accuracy ML Models
Heatmap Highlight Visualization
Multi-format Support
High Accuracy ML Models
Credits
Mohammed Rayees (Team lead) - Algorithm,
Documentation
Niranjan V Ram - Algorithm, Coding, Git/Github, Documentation
Shiras Rahman U - Algorithm, Documentation
Soorya Thejus K V - Algorithm, Coding, Documentation
Niranjan V Ram - Algorithm, Coding, Git/Github, Documentation
Shiras Rahman U - Algorithm, Documentation
Soorya Thejus K V - Algorithm, Coding, Documentation