Food spoilage alert system by deploying deep learning model
Keywords:
Food, DL, Cloud, Alert system, Train, TestAbstract
Food waste due to rotting is unquestionably an important resource issue that must be addressed as soon as possible in the next age. Recent technological advancements, such as cloud technology, Deep Learning (DL) may aid in the reduction of food waste. To address the rising issue of food spoilage in everyday situations in the most effective way possible, a DL model is built to distinguish between fresh and rotten fruit. The dataset required for this inquiry was obtained from Kaggle. The raw dataset is pre-processed so that it may be used with the DL model. Detection systems, controllers, and transmission elements make up the functional model. These modules interact with the items, such as the fruits, to collect data, which is then processed using a DL technique, such as CNN, and if there is any degradation in the food, an alert message is sent to the registered user.
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