B. A. Mohan, N. Sreenivasa, E. G. Satish, Roshan Fernandes, H. Sarojadevi, Anisha P. Rodrigues
{"title":"Breatheasy - An Android Application To Quit The Smoking","authors":"B. A. Mohan, N. Sreenivasa, E. G. Satish, Roshan Fernandes, H. Sarojadevi, Anisha P. Rodrigues","doi":"10.1109/DISCOVER52564.2021.9663588","DOIUrl":null,"url":null,"abstract":"This application is designed to help people quit smoking and monitor their health. There are achievements at every stage that the user can take a moment to enjoy himself upon successful quitting. It is very helpful and useful tool as it gives the insights into forecasting and also a real-time notification approach incorporated. The user can continuously monitor his health and also feel how good it can be if he quits the smoking. The risk of Lung-Disease can be analyzed with the help of different parameter values by using different machine learning models. The risk is also shown on entering parameter values for thorasic-surgery. In the contained way, our project is mainly based on eradicating smoking and its related disorders by providing a helping hand to customers (an app/web app) to keep in check with the lung related disorders.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"11 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DISCOVER52564.2021.9663588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This application is designed to help people quit smoking and monitor their health. There are achievements at every stage that the user can take a moment to enjoy himself upon successful quitting. It is very helpful and useful tool as it gives the insights into forecasting and also a real-time notification approach incorporated. The user can continuously monitor his health and also feel how good it can be if he quits the smoking. The risk of Lung-Disease can be analyzed with the help of different parameter values by using different machine learning models. The risk is also shown on entering parameter values for thorasic-surgery. In the contained way, our project is mainly based on eradicating smoking and its related disorders by providing a helping hand to customers (an app/web app) to keep in check with the lung related disorders.