| VISION | To develop a robust and intuitive interface that applies the top-performing deepfake detection method to support digital media authenticity and reduce the spread of misinformation. |
| MISSION | To develop an effective deepfake detection system capable of identifying manipulated media across various formats, using the FACTOR detection method. To support this, we will research to understand deepfake detection challenges and evaluate FACTOR’s performance across diverse datasets of authentic and manipulated media. Our goal is to implement FACTOR in a user-friendly interface and ensure it achieves a minimum detection accuracy of 70%. Through this mission, we aim to deliver a reliable user interface capable of accurately verifying the authenticity of both video and image content. |
| TEAM | Jessica Gentles, Matthew Sweet, Emily Stevenson, Erica Abbington |
| CLIENT | Tata Consultancy Services Dr. Samer Khamaiseh, mentor |
| SITE | pending |