Student projects/GSOC/Proposals: Difference between revisions

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 === Offline mode ===
-* A small version of the database needs to be included in the app (at install, and then synched regularly)
+* A small version of the database needs to be included in the app (at install, and then synced regularly)
 ** All products, but only key data
 * When scanning products, key data should be shown instantly, even if there's no network
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 == Data science ==
-Why it's important: our product database is growing rapidly (10k new products every Month in early 2019), we need automated ways to extract and validate data
+Why it's important: our product database is growing rapidly (730k products, with 10k new products every month in early 2019), we need automated ways to extract and validate data
-Background: to date, we have done very little in this area
+Background: We have started in the past year to ramp up effort, and we have processed 1,5 million images with OCR and general entity, barcode and QR-code recognition. The result is 1,5 million matching JSON files with bounding boxes.
 === Automatically classify products ===
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 * We currently have performance issues with MongoDB requests that could be optimized
 * There are many other areas for improvements for the backend, see https://github.com/openfoodfacts/openfoodfacts-server
 == 2018- 2017 Project ideas ==