Mass media is one of the most effective ways to reach the general public. Over lately there has been a lot of unrest over the idea of AI being able to use deep generative models to create artificial media (Fake News). The idea is to develop a tool that can combat these tactics so the everyone can enjoy cat videos without any political bias or subliminal messages.

What it does

How we built it

A SaaS application deployed to the Azure platform, we leverage a variety of Microsoft Services our application's functionality:

  • MongoDB Atlas on Azure, Azure Deploycenter for Continuous integration and deployment from our github repository.

  • AMS Video Indexer API, to extract metadata that explains what is contain in the video (brands, celebrities, emotions, etc).

  • Azure Web App and Kubernetes services to make to applications scalability and performance.

Challenges we ran into

Using the Video indexer API was challenging as the documentation was not straightforward.

Accomplishments that we're proud of

Good teamwork.

What we learned

We all grew in our own way based on our skill sets. For instance as a backend developer I (Derrick) learned more about using MongoDB in a live application.

What's next for Properganda

Making a custom CNN and training it to scan a wider array of videos and other media

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