This thesis aims to introduce the new product: multi-oil smart Aroma diffuser and the novel method of operation behind the product. The product is a multi-oil smart aroma diffuser that can accommodate up to three different essential oils to be automatically swapped. The aroma diffuser is connected to the IoT system that allows the collection of data ranging from past usage history, environmental data, and user demographics data. To aid users in enjoying the full benefit, and also to provide extra convenience in scheduling different aroma oils for different times of the day, an automatic scheduling and recommendation algorithm will be developed and implemented. The algorithm will be based on the constructed database, developed mainly based on clustering and finding the associatio...[ Read more ]

This thesis aims to introduce the new product: multi-oil smart Aroma diffuser and the novel method of operation behind the product. The product is a multi-oil smart aroma diffuser that can accommodate up to three different essential oils to be automatically swapped. The aroma diffuser is connected to the IoT system that allows the collection of data ranging from past usage history, environmental data, and user demographics data. To aid users in enjoying the full benefit, and also to provide extra convenience in scheduling different aroma oils for different times of the day, an automatic scheduling and recommendation algorithm will be developed and implemented. The algorithm will be based on the constructed database, developed mainly based on clustering and finding the association rules behind. The thesis also includes the business applications of the key finds and the plan for further expansion.