The Autograph

Inspiration

Our team member Riddhima's mom is an artist, and what makes her work hers isn't what she draws but how her hand moves: the pressure, the rhythm, the micro-tremors, the hesitation before a confident stroke. That's her artistic DNA, and right now there's no way to capture or preserve it. Autograph is an instrumented pen that records the invisible physics of how you create, extracts your unique style fingerprint via machine learning, and can generate new drawings that move the way your hand does.

What it does

The Autograph is an assistive drawing device meant to preserve an artist's drawing style. We track the artist’s pen movements, grip, and pen strokes and utilize inference learning to fully capture their style.

How we built it

We used Solidworks for the pen housing, arduino and pressure sensors, and vscode, claude, and

Challenges we ran into

Printing the pen housing required lots of tuning to make sure it was able house all of the electronics

Accomplishments that we're proud of

A physical demo we can show

What we learned

We learned how to work under pressure and collaborate effectively relying on each other strengths and working together efficiently

What's next for The Autograph

We want to build a platform where artists can bank their style DNA over time, creating a living archive of how their hand moves and evolves across years. For aging artists, people with degenerative conditions, or anyone who wants to preserve their creative identity, the Autograph becomes a way to keep creating in their own voice even when their hands can't. Long term, we see this extending beyond drawing into any skilled hand movement: calligraphy, surgery, music, craft, anywhere the way someone moves matters as much as what they produce.

Built With

• arduinoid
• claude
• platformio
• python
• solidworks
• vscode