Trackener

24/7 horse activity monitoring and alert system

London

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Technologies Used

Groovy
Java
Spring Framework
MongoDB
Spring Data
Gradle
Spring Boot
HP Idol-on-demand

Project Team

Pauline Issard
Entrepreneur
charlet.jeremie

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Product Manager Investor
REQUEST TO JOIN

About

The aim of this solution is to reduce the stress of the horse owners about the well-being of their horse by providing them with a monitoring/tracking tool. With the assumption that a gps tracker is installed on the horse, and call our REST api every 2 hours to provide activity information about the horse for the last 2 hours (currently, only time and a list of speed measures). When our API is called, it saves the data in a Mongo database and then calls HP machine learning API to check whether those data describe a normal situation according to our training set. If it is not valid, we assume that the horse is not feeling well, and we send an email to the owner to alert him. We used the Prediction API on HP Idol On Demand

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