Automating Date Grading at Tamra Al-Khair

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