Key Benefits
- Educational
- Deepfake Detection
Key Technologies Used
- Python
- HTML
- CSS
Project Background & Description
Today, Deepfake technology is widely available, leading to an increase in manipulated content across the internet. These realistic fakes can make it appear as though someone said or did something they never actually did, blurring the line between fact and fiction. To address this growing concern, we’ve developed a deepfake detection website to help users identify deepfakes and protect themselves from misinformation.
Our platform features three advanced deepfake detection models trained to analyze images, videos, and audio. Each prediction includes a confidence percentage, helping users assess the likelihood of manipulation. Additionally, the website includes an educational section where users can learn about deepfakes and tips for spotting them. To reinforce their learning, users can take a quiz to test their ability to detect deepfakes in images and videos. The history page provides easy access to previously analyzed files, allowing users to review their results and track their progress.
Project Team Members
Supervisor
Jet Lim (Mr)
Industry Partner
Temasek Polytechnic