Detecting Deepfakes in Germany Through Images

This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Münich, Germany Chapter.

The problem

Deepfake generators have been able to produce imitations almost undetectable through human inspection. Per se, Deepfake detection is one of the notable challenges of digital forensics and media security. They can be used for:

• Spreading false information and manipulating public opinion.
• Defaming, harassing, or blackmailing individuals.
• Damaging the credibility of media information and undermining trust.
• Spreading fake news, making political propaganda, and manipulating elections.

An artificial intelligence (AI) solution can help identify Deepfake images with accuracy and precision.

The goals

The goal of this project is to develop a deep learning model for detecting forgeries in images.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work