Open AccessFEEDVIEW- A Cross-Platform Machine Learning Analytic App
Author(s) -
Mr. Rushikesh Solanke,
Mr. Ramkrishna More,
Miss. Prerana Pagar,
Prof. A. R. Jain
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41288
Subject(s) - computer science , usable , machine learning , accelerometer , field (mathematics) , artificial intelligence , function (biology) , gyroscope , human–computer interaction , multimedia , engineering , mathematics , evolutionary biology , pure mathematics , biology , aerospace engineering , operating system
Machine learning is a field of study that looks at using computational algorithms to turn empirical data into usable models. The machine learning field grew out of traditional statistics and artificial intelligences communities. thus, it's very important to assay this data in order to root some useful information and to develop an algorithm based on this analysis. We developed a feedback oriented multi-platform application to gather data from a mobile device and it's designed to create a survey for road transport and cars safety. It's a simple way to give a feedback or report for the concern department. Car companies will no longer have to wait for their car’s owner to create a complaint, with this app dealer or service team can directly contact the owner of the car for the issue with the resolution they may be facing. Road development department no longer need to do physical surveys with the data collected from multiple user’s they can directly take required actions. The smartphones have multiple assembled-in sensors each having a specific function which helps the device perform efficiently. To collect data our experiments will use the smartphone accelerometer and gyroscope. These sensors can potentially be used to gather required data. Keywords: Component, Machine Learning, Algorithm, Sensors, Network