Banana Grade Classifier is an AI-based system that classifies bananas into different grades based on their ripeness and quality. This system helps farmers and distributors sort bananas efficiently and accurately, increasing their productivity and reducing waste. Additionally, consumers can benefit from the scenario by choosing bananas with their desired ripeness and quality.
Also, in the future, I will try to make a rover that clicks photos and identify the location of the diseased or rotten banana and send the coordinate for that banana.
Overall, connecting the frontend and backend, achieving high model accuracy, data filtering, model optimization, and testing the API request were crucial to the success of this project. By using FastAPI for the backend and React.js for the frontend, I was able to build a powerful and dynamic web application that could accurately classify bananas based on their ripeness and quality.
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