Inspiration
In college, participated in Sperry's qualitative market research report in which they paid the university $100K+ to run qualitative market research on products and advertising and a lot could be automated, privacy-enabled, and user-forward.
What it does
Gaze Tracking + Emotion = Attention; a new form of privacy-forward human verification/attestation and Web3 forward MarTech solution
How we built it
Hume API + Roboflow Gaze Detection/Obj. Seg. + EZKL + TwelveLabs + NewCoin
Challenges we ran into
Pivoting last minute + limited amount of time
Accomplishments that we're proud of
Submitting before deadline
What we learned
There's a few competitors in the space of data-driven qualitative analysis but none empower the users, are Web3 focused, nor are privacy enabling.
What's next for ssense
Building infrastructure on ZKML/fHE and create cross-platform PWA to gain users and develop product.
Built With
- ezkl
- hume
- newcoin
- roboflow
- supabase
- twelvelabs
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