Line 37: |
Line 37: |
| *Project duration: 350 hours | | *Project duration: 350 hours |
| *Skills required: Reactjs / Python / Neo4j | | *Skills required: Reactjs / Python / Neo4j |
| + | *Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span> |
| + | |
| + | === Scan products without barcodes in the mobile application (Flutter) === |
| + | |
| + | ====Description==== |
| + | The Open Food Facts mobile application can only scan products using barcodes. We would like to be able to identify products that do not have barcodes (e.g. fruit and vegetables). |
| + | ====Expected outcomes==== |
| + | This project will initially involve testing/benchmarking several solutions, before determining the best one. |
| + | |
| + | * Research models (YOLO, MLKit, MediaPipe, etc.) |
| + | * Test and benchmark |
| + | * Implement the selected model in the application |
| + | |
| + | ====Project information==== |
| + | *repository: https://github.com/openfoodfacts/smooth-app |
| + | *Slack channels: #mobile-app |
| + | *Potential mentors: Edouard, Pierre |
| + | *Project duration: 350 hours |
| + | *Skills required: Flutter (Dart), ML |
| *Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span> | | *Difficulty rating: Medium<span id="improve-our-producer-platform-to-the-next-level"></span> |
| == Your idea == | | == Your idea == |