FORGERYGUARD

ForgeryGuard is a web-based image authenticity checker designed to detect and highlight altered or forged parts of an image. Supporting all image file types, the tool processes uploaded photos through numerous methodologies, algorithms, and machine learning techniques, conducting multiple analyses to deliver reliable results with low error rates. Users simply upload an image, and the tool highlights tampered areas without requiring any additional inputs. ForgeryGuard is free to use and accessible to everyone. Although functional, it is not currently live due to high system requirements for hosting and lack of profitability. Future updates or features are not planned at the moment but may be considered later.

Year
2023
Client
Self-commissioned
Type
Machine Learning, Website
Features

Detects and highlights forged areas

Supports multiple image file types

Utilizes machine learning techniques

Low error rates

Free to use and accessible to everyone

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
Anuraj Mohan - Mentor
Vijesh K - Mentor

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