About the Project
By applying machine learning algorithms on real-time data from such devices a user’s daily life can be inferred using training data after it has been accumulated for an initial period of time. This data can be used to analyse the daily routine of a user’s behaviour and this project focuses on analysing such user behaviour and to map out the triggers which causes them.
In addition, this project explores the security of the appliances used by the IoT appliances and the user behaviour results, anomalies to normal behaviour can be mapped out resulting in creating a smart alert system. This can be applied to remotely monitor vulnerable/elderly users or in assisted living care resulting in reduction of public resources. It also proposes a secure solution using multiple approaches a user can validate his/her credentials for secure access.
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