nurmuhimawann/C22-098-Fruity-Website

🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.

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Experimental

Fruity helps fruit growers and sellers quickly sort fresh from rotten fruit. By uploading an image of a fruit, the system provides a prediction of its freshness. This tool is designed for anyone in the agriculture or retail food industry who needs to perform quality control on fruit commodities.

No commits in the last 6 months.

Use this if you need a quick and easy way to identify whether a piece of fruit is fresh or rotten from an image, without manual inspection.

Not ideal if you require precise scientific analysis of fruit ripeness or internal defects, as this tool focuses on external visual classification.

fruit-quality-control horticulture food-sorting agricultural-productivity produce-assessment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 5 / 25

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Last pushed

May 01, 2023

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