Inspiration

As a teen, being independent is hard. Skills such as cooking, tying knots, and sewing clothes are crucial to avoid reliance on others, but they aren’t always something you learn by watching a youtube video or two.

Muscle memory skills like these need to be trained through doing, not listening, and teens need more than verbal instructions: they need Helping Hand.

What it does

High Fidelity Computer Vision Analysis: Marking keypoints on the hand such as fingertips, knuckles and wrist.

Hand Position Detection: When the position of the user's hand matches up with the desired position, move onto the next position or end the map.

Map Format: Custom map format for simple and organized map storage.

Built In Map Creation: For scalability and user enjoyment.

How we built it

Graphics: PyGame and Open Computer Vision

Challenges we ran into

Accomplishments that we're proud of

Setting up a fast, precise computer vision model in a short time and making a fun and scalable game/tool; not all projects need to be money managers or AI resume builders...

Making a cool UI for the main menu with Delaunay Triangulation

What we learned

How to build a fun, interactive project with computer vision

What's next for Helping Hand

Large scale deployment as a IOS/Android application

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