HotCache and DetAll Named 1st Place Winners at the Open Innovation College Hackathon

First off, I would like to thank everybody who participated in this . There were a series of open-source projects licensed under the that were quite exceptional. Outside of this Hackathon, nearly also utilize the open innovation license (as of the time of writing this post). This license has nearly 262+ downloads across NPM and also recently had a as well. We hope by the end of 2021, around 1000 to 2000 repos will have adapted the Open Innovation License. We actually aim for much more.

There were who signed up for this student hackathon. About 16 people submitted, and out of the submissions, 8 qualified as fully valid .

The winners are as follows:

1st Place: and

2nd Place: and

3rd Place:

4th Place:

Runner-ups: and

1st Place

The first project being , implemented a fast cache memory design and simulation in the language.

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is a healthcare image detection and AI suite w/ a series of detection tools in a single place.

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2nd Place

is actually one of my favorite projects here. The UI was phenomenal and the project seems like something I would do, but a much better iteration. They also made a , which was an extra step. In fact, they scored a full score on the creativity scale.

In all seriousness, I definitely hope they continue this project. While there are many micro-donation apps, the simplicity of this one and its design is what I admire the most.

is a hardware project partially inspired by Home Alone. If you are worried about theft, the power of the foam dart may be on your side.

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3rd Place

One of the most creative entries as well was . This was a really complex augmented reality game, and in terms of the rating, they were extremely close to scoring second place.

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4th Place

A hardware and software project that takes the cake for fourth place is a . His demo video can be viewed . I think in terms of effort, usability, and open source, he did an excellent job.

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He also has an engineering blog that can be seen .

Runner-ups: and were the two runner-up projects. Both of them utilized computer vision. Also, I urge you to check out the profiles and portfolios of those involved.

This concludes the first-ever university hackathon for the Open Innovation License. Full winner announcements and further updates are expected soon. If these students are working on the future of open source and open innovation, I am excited to see what they are working on years from now.