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Stock counting can be a tedious process in any business. The aim of the project is to improve the efficiency of inventory workload by introducing an image auto counting feature that counts the number of items in the captured image. The system leverages a state of the art image recognition algorithm YOLO v8 to help in accurately identifying and counting the stock items in a system that is built with Flutter and Python.

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