Sign2Graph
An AI-powered STEM learning platform that combines webcam-based air writing, gesture recognition, mathematical-input classification, animated explanations, and accessibility-oriented learning features.
Operating context
Sign2Graph won 3rd place overall at STEMist Hacks IV, an international hackathon with 400+ registered participants. The event offered $2,500 in cash and promoted $30,000+ in credits and subscriptions.
Problem
Mathematical input and visual explanation can be barriers for learners who do not thrive in conventional keyboard-first interfaces.
Approach
Combined webcam-based air writing, gesture recognition, input classification, animated explanations, and accessibility-oriented learning features into one STEM learning workflow.
Key product decisions
- Made air writing and gesture recognition part of the core input path, not a cosmetic addition.
- Paired recognized input with animated explanation to make the next step clearer.
- Used accessibility-oriented interaction as a product requirement from the beginning.
Technical architecture
The platform joins live camera input with gesture and mathematical-input interpretation before presenting a learning-focused visual response.
Selected numbers
- 3rd place overall
- 400+ registered participants
- $2,500 cash offered
- $30,000+ credits and subscriptions promoted
Current result
3rd place overall at STEMist Hacks IV. T-Mobile was the presenting sponsor; the judging and workshop panel included professionals from Microsoft, Walmart Global Tech, Disney, Oracle, Electronic Arts, and Caterpillar.