Inspiration

In the college community, we often hear complaints from fellow students that users of Dating Apps lie about their height on dating apps. Turns out this is not an isolated phenomenon and exists across the user base.

What it does

We use a combination of AR and Anyscale's AI compute technology to run models that detect whether the height was measured correctly, the image was tampered with, etc. with an easily configurable system to add additional detection mechanisms.

How we built it

We used ARKit on a Swift App to collect the height info and then ran the models we generated on Anyscale to return a boolean whether it should be verified. The models were written in Pytorch and sci-kit learn and were trained using Logistic Regression.

Challenges we ran into

We faced complications integrating many of the more involved ARKit components with the desire to export simple images to the AI model. There were issues we had hitting some of the API endpoints as well which likely could have been fixed by familiarizing ourselves with the AnyScale endpoints beforehand.

Accomplishments that we're proud of

We are proud of the fact that we were able to bring together many distinct technologies including Augmented Reality, AI (including many diverse models), Computer Vision, Open Source, and Closed Source software. These technologies culminate in creating a strong piece of software meant to uphold honesty on the internet.

What we learned

We learned that creating well-trained models also means sourcing quality data. We also learned how to deal with roadblocks calmly, especially when dealing with ARKit in iOS development. Innovative technologies often take time to familiarize ourselves with and can sometimes be frustrating.

What's next for Regulus

Can build more AI models around human body modification Reduce societal illnesses like body dysmorphia Expose endpoints for Image/Video verification as SaaS to Dating Apps and Social Media Build Awareness around Scalable compute technology We found working with Anyscale very cool and opened our minds up to more use cases that can be built around the ecosystem We could not find as many graphics-based projects as LLM ones and believe there can be a lot more development in the space

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