Inspiration: A lot of our friends have a hard time seeing and we wondered how we could do something about that.
What it does: Our Machine detects objects that are nearby and if they are too close, the machine will vibrate telling the user that they are approaching an object.
How we built it: We used a laptop to run a pre-trained model and used code to provide haptic feedback to inform the user of potential collisions.
Challenges we ran into: One challenge we ran into was installing the pre-trained AI models and necessary software
Accomplishments that we're proud of: We were proud of getting the AI-model up for the first time with accurate detection of objects
What we learned: How AI-models work effectively and how to improve them
What's next for C.A.R.L Hack-A-Thon: Polishing our designs and adding more features with optimization
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