kris701 / P2-Project

A website to show and predict IAQ and give warnings to a user

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Notification platform using airquality sensors and IoT

This is a university project made at Aalborg University students, studying computer science. This project is about, as the title suggests, giving the ability to study the IAQ (Indoor Air Quality) of a room to a normal user. Currently (as of 11th of May 2020) there is a website hosted by Aalborg University of the project: https://dat2c1-3.p2datsw.cs.aau.dk/

The website is of intuitive design, and is hopefully easy to understand. The project is using Visual Studio as an IDE. With this project is also attached the reports that was made in conjunction. An openAPI have also been made for this project, that can be found here: https://app.swaggerhub.com/apis/kris701/P2Project/1.0.0-oas3#/ or in the GitHub (https://github.com/kris701/P2-Project/tree/master/P2Project/ServerSide/openAPI)

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A website to show and predict IAQ and give warnings to a user

License:MIT License


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Language:JavaScript 75.0%Language:HTML 9.5%Language:CSS 8.4%Language:TSQL 3.7%Language:C++ 3.4%