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Data Analytics API and UI for Building Sensors
The project entails the creation of a program that will capture data from building sensors. It will analyze that data and predict future trends based on the data collected over a period of time. It will also graph data from sensors over a period of time. Currently both are done manually, take a significant amount of time and our prone to data enter errors. This will save time, money and give more accurate results for the partner organization.
Faculty Supervisor:
Stephen Lawrence
Student:
Partner:
ioAirFlow
Discipline:
Computer science
Sector:
Information and Communications Technology; Clean Technology; Manufacturing and Construction
University:
Red River College
Program:
Accelerate
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