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A predictive model that automates the grading of dates using visual features like size, color, and blemishes.
<p>This project was developed for Tamra Al-Khair, a date farm in Al-Ahsa, Saudi Arabia, aiming to streamline the manual and subjective process of date grading. The model leverages supervised learning, specifically regression techniques, to predict a date’s grade based on numerical inputs such as length, width, weight, color intensity, and blemish percentage. The system handles missing data, scales features, and uses a pipeline to preprocess and evaluate data efficiently</p>
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