Inspiration
Food safety and food waste. A fridge’s current temperature doesn’t show what food has experienced over time.
What it does
ShelfLife tracks storage conditions and estimates food freshness risk using sensor history and food profiles.
How we built it
We built a dashboard and risk engine, connected a MongoDB backend, and designed a 3D-printed enclosure for the sensor hardware.
Challenges we ran into
Connecting hardware readings to the software and making risk estimates useful despite incomplete data.
Accomplishments that we're proud of
We created an end-to-end prototype that brings sensor data, inventory, and food risk insights together.
What we learned
Food monitoring is about understanding exposure over time, not just checking a temperature in the moment.
What's next for ShelfLife
Test and calibrate the sensors, improve inventory capture, and refine the risk estimates with real-world feedback.
Built With
- 3d
- esp32
- javascript
- mongodb
- perceptron
- sht31
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