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By instrumenting trap’s with IoT sensors, cataloging the specific positions, and capturing trap & clear events in the cloud, we can apply machine learning algorithms to understand patterns and provide predictive analytics to optimally schedule trap visits and ideal location placement for trap & field technician efficiency.
In this project we monitor the vital data of a person through a website created and provides a remote system for alerting and detecting dangerous falls of the patient to the physician. With the help of data analysis, we analyze the vital information of the patient along with the location of the patient and trigger an email to the physician so th…
Project scope involves designing an architecture for Internet of Things devices and implementing all components needed to create a complete IOT echo system