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In this project, we developed a connected IoT system which can achieve real-time flow rate monitoring and table availability detection as well as menu update. Our machine learning model can generate dish recommendation for each user based on their past rating records. On top of our model we built an user friendly Android App with features of registration, navigation bar, menu update, grading and recommendation. During this project we learned how to build a RESTful system and how to develop an Android App. Further improvement can be done from both sensor choosing and data acquisition perspective. Using wireless sensor and writing a web crawler would simplify our hardware design and menu update process.
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