07 / PRODUCT / FIELD GUIDE / LOCAL HISTORY
Lakeglass
What did the lake give you?
LIKELY READING
Pale aqua
Likely utility-bottle glass, softened by prolonged Lake Michigan tumbling.
- Physical clue
- Thin / curved wall
- Occurrence
- Uncommon
- Context
- Chicago shoreline
- Provenance
- Recorded separately
Identification is based on observable clues, not a photo match.
THE PROJECT
Why I made it
Beach glass invites a very specific kind of curiosity: you can hold a fragment in your hand and know that it had a life before the lake, but the evidence is incomplete. I wanted a tool that helped read those clues without turning uncertainty into a false answer. Lakeglass treats a find more like field evidence than an image-search problem.
The identification model
The flow starts with what can actually be observed: shoreline, color, thickness, form, opacity, surface condition, markings, and any diagnostic feature that survived tumbling. Those clues are combined into a likely object type, historical context, and occurrence reading. Color matters, but it never gets to make the decision by itself.
Provenance, not prediction
The app keeps known provenance — where and when something was found, plus the collector's note — separate from inferred history. A fragment can have a strong physical reading while its original maker, date, or route into Lake Michigan remains unresolved. That distinction is part of the product rather than fine print hidden after the answer.
Research-backed on purpose
Regional and beach-glass research informs the field reading, and the result explains why a hypothesis was made. Lakeglass surfaces evidence, occurrence, local shoreline context, and the research basis so the user can understand the reasoning instead of receiving a single black-box label.
No camera identification
There is deliberately no photo upload or camera-identification step. A photograph can make an uncertain fragment look more knowable than it is, while useful clues like thickness, curvature, texture, and a partial mark are easier to assess in hand. The interaction asks the user to look more closely rather than outsource the observation.
Local-first and offline
Lakeglass is an installable PWA with a local IndexedDB specimen archive, import/export, and service-worker support for offline use. There are no accounts, no server-side collection database, and no photo storage. The field guide can go to the shoreline, and the collection stays with the person doing the finding.
Design direction
The interface borrows from field guides and collection labels: soft paper tones, Lake Michigan blue-greens, serif headings, monospaced evidence labels, and translucent specimen shapes. For the portfolio, I kept those signals inside the same editorial/brutalist system as the rest of the work so Lakeglass feels distinct without becoming a separate visual world.