Automating Fruit Freshness with Image Analysis

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"FruitVision" explores the transformative potential of automated systems in fruit inspection, addressing limitations in manual processes. The project utilizes advanced image processing and a detailed methodology, including dataset preparation and innovative feature extraction methods. Using a Random Forest Classifier, this investigation reveals insights into classification performance with notable accuracy and precision. The discussion highlights the effectiveness of feature extraction and...