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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