Inspiration
Accessibility is a critical component of inclusivity in technology, yet many solutions are either overly complex or solve problems so effectively that they leave no room for... creative inefficiency. Inspired by the desire to reimagine accessibility in the most convoluted way possible, AccessAIbility was born.
What it does
No arms? Type without a keyboard by signing letters in ASL to the camera! Paralyzed and can't use a mouse? Control the cursor by simply moving your finger in front of the camera. Clicking? just open your mouth or tilt your head up.
How we built it
We combined machine learning models for ASL recognition, gesture tracking, and facial expression detection using frameworks like TensorFlow and MediaPipe. These were integrated into a user interface that ensures usability is intentionally complicated yet functional.
Challenges we ran into
Accidentally being too effective: Initial models were so accurate that we had to throttle their efficiency to stay true to our vision of useless solutions. Balancing humor and functionality: We wanted the app to be absurd but still technically impressive. Gesture misinterpretation: The app occasionally confused gestures, creating unintended (but hilarious) outcomes.
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