AuthentiScan

Inspiration

Fascinated by the power of artificial intelligence in media, we were inspired to create a deepfaking app to explore the boundaries between reality and digital innovation. Our goal was to not only showcase the potential of AI in creating hyper-realistic content but also to raise awareness about the ethical implications and need for responsible use of such powerful technology.

What it does

Out web-app detect deepfakes and to provide a critical tool for verifying the authenticity of digital media. This not helps to combat the spread of misinformation and protect personal reputations, but it also serves as a frontline defense in maintaining the integrity of online content

How we built it

We created a video splitter in python, which splits the video into multiple frames. Each frame is then sent through our AI model which detects any inaccuracies in the facial expression of the video. The AI model utilizes neural networks and maseonet class with tenserflow to analyze if it was created with deepfake technology.

Challenges we ran into

We ran into many challeneges throughout the processs of developing our code however, the ones that were the most challening were finding the right dataset to use and training the AI to get the most accurate results.