Determining the Placement Context of Mobile Devices Using Machine Learning

Created location identification application applying data filtering and cloud based machine learning tools like Google’s Predictive API and Microsoft Machine Learning. We also designed the implementation keeping in mind the fact that these can also be used in low power devices as the computation entirely runs on the cloud. The application in its standalone form has a very low footprint on the device itself. The performance of the two techniques was also explored in an without the usage of low-pass, high-pass and Kalman data post-filtering.