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EcoLens
Team project putting a number on a choice people make without thinking. EcoLens scans pantry items with computer vision, matches them against sustainability databases, and returns an eco-score for each item alongside a lower-impact alternative, with carbon-footprint calculations and visual analytics over the results. The recognition was never the hard part; the packaging a camera has to read is designed to be read by people, not by models, and that is where most of the work went.
Skills
- Python
- JavaScript
- Computer Vision
- Sustainability