Teary

A disease classifier and a keepsake, built for your tears.


Inspiration

A tear isn't just saltwater, it's a biological fingerprint. When tears dry, they form dendritic crystal patterns shaped by your biology, mood, and the moment itself. We saw two possibilities in one drop: a diagnostic signal for disease, and an artifact of memory. Teary is both.

What it does

Teary turns a single teardrop into two things:

  1. A disease classifier — upload an image of a dried tear and our model predicts one of five classes: Healthy, Diabetes mellitus, Glaucoma, Multiple sclerosis, or Dry eye syndrome.
  2. A keepsake — the same dendritic pattern gets imprinted onto everyday objects (an etched optical crystal plaquette, a glazed ceramic plate, a laser-etched notebook cover) so tears of joy become something you can hold forever.

How we built it

  • Fine-tuned EfficientNet-V2 on dendritic tear-crystal images across five disease classes.
  • Designed a home collection kit — since UPJŠ scientists confirmed tears are biologically stable in transit and resistant to heat, users can cry at home, mail the sample, and get results plus their keepsake back.
  • Prototyped the keepsake line: optical crystal plaquette, dendrite-under-glaze ceramic plate, and laser-etched notebook cover.

Challenges we ran into

  • Small, imbalanced dataset — tear-crystal imagery is niche, so we had to be careful with augmentation and validation splits to avoid overfitting.
  • Five-class separation — some disease signatures look visually similar under dendritic formation, which pushed our macro-F1 down on the full five-class task.
  • Bridging biology and design — making a medical tool that also feels like something you'd want on your shelf required constant back-and-forth between ML, UX, and product.

Accomplishments that we're proud of

  • 94.1% macro-F1 on binary classification (healthy vs. diseased)
  • 82.4% macro-F1 on three-class
  • 64.7% macro-F1 on the full five-class problem

What we learned

  • Tears carry far more structured information than we expected, dendrite morphology really does track with systemic disease.
  • Sample stability matters: a diagnostic is only useful if people can actually collect it at home.

What's next for Teary

  • Grow the dataset in collaboration with UPJŠ to push five-class F1 past 80%.
  • Ship the home kit as a real pilot — packaging, cold-chain-free shipping, turnaround logistics.
  • Expand the keepsake catalog (jewelry, glassware, prints) and launch a made-to-order pipeline from sample → dendrite scan → etched object.
  • Explore longitudinal tracking: what does your dendrite look like over time, and what does that say about your health?

Teary · one drop · one story

Built With

Share this project:

Updates