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The quality assessment and timely detection of fruit ripeness are crucial for optimizing harvest schedules, ensuring product freshness, and minimizing post-harvest losses. This abstract presents a smart detection system designed to accurately determine fruit ripeness using non-invasive sensing techniques. To evaluate the system's performance, experiments are conducted using different types of fruits at varying ripeness stages. The results demonstrate high accuracy and reliability in fruit ripeness prediction, with minimal false positives or negatives. It eliminates the need for manual inspection, reducing labour costs and potential subjective bias. It also provides non-destructive testing, allowing fruits to remain intact for further processing or sale. Furthermore, the system can be integrated into automated sorting and packaging processes, enabling efficient sorting based on ripeness and improving overall supply chain management.