Students from the Department of Computer Science and Engineering at East Point College of Engineering and Technology (EPCET), Bengaluru, have developed a web-based artificial intelligence system to detect deepfake videos.
Developed by Adarsh R, Chandu Kumar G, K N Siddarth and Likith Roshan H B under the guidance of Assistant Professor Nithyananda C R, the prototype combines a ResNeXt50 convolutional neural network with a long short-term memory model. It analyses facial patterns across multiple video frames to differentiate manipulated content from authentic footage.
Users can upload videos to the web application and receive detection results. The system also includes an algorithm visualiser that shows the detection process.
“Deepfakes are no longer only a technology story; they are a trust story. What makes this project relevant is that our students are applying AI to a problem that ordinary users, businesses and institutions increasingly face—knowing whether what they see is real,” said Rajiv Gowda, CEO of East Point Group of Institutions.
The students plan to improve the system’s processing speed and accuracy, add support for more video formats and enable it to analyse videos featuring multiple faces.
The system is currently a prototype and is not intended for commercial or forensic verification.
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