About the System Classification
Classification
of Cavendish Banana Ripeness
This system is designed to help farmers and agribusiness players determine the ripeness level of Cavendish bananas quickly and accurately using a Computer Vision.
MobileNetV2 is used to extract image features of the fruit, then classified using the Support Vector Machine (SVM) algorithm into five ripeness classes: unripe 100%, half-ripe 92%, nearly ripe 92%, ripe 97%, and overripe 97%

Technologies Used
System architecture and supporting technologies
Frontend
SvelteKit, HTML, CSS, JavaScript
Backend
Python (FastAPI)
Database
MongoDB
Model AI
MobileNetV2 + SVM