Date of Publication :21st November 2018

Abstract: The project is an enhancement from a previous iteration that uses a web application to control the power board. The project composes of a mobile application to control the power board, along with a web application to manage its users, sensors to measure the power consumed, raspberry pi to act as its server, and machine learning to recommend the device identified. The proponents decided to use a hybrid prototype and agile methodology to allow them to deliver early mock-ups, evaluate outcome, and continuously improving through its evaluation. The following were the tests that were conducted: functionality for its user usability; reliability for its hardware; and accuracy for its device identification. Both functional and reliability were successful within acceptable range, meanwhile, the accuracy tests for the device identification couldn’t reach the expected outcome and was off with a range of 22% from the calculated evaluation. Nonetheless, the project is fully functional and the possible lacking for the device identification were recommended for its next iteration.

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