Ankit Verma, Chavi Kapoor, Abhishek Sharma, B. Mishra
{"title":"Web Application Implementation with Machine Learning","authors":"Ankit Verma, Chavi Kapoor, Abhishek Sharma, B. Mishra","doi":"10.1109/ICIEM51511.2021.9445368","DOIUrl":null,"url":null,"abstract":"Every Service nowadays has applications. If we want to order food but don't like to talk to someone, we simply go for the web apps or mobile apps and ordered food and it is the more convenient and easy method. so basically, the web application provides a virtual platform where we do lots of tasks from anywhere all around the globe. Here we make a responsive college community web application that helps the college students, faculty, and alumni to interact on one platform. As the objective of this paper is to elaborate the web application working functionality like the creation of fronted part using React Js, backend part by using Django framework, use of the database in web apps to store data in the database, fetch and serve data in the user interface, deployment of a website in the cloud, all components integration and the main part is the use of machine learning where we create a Machine learning NLP Model for text analysis and using Scikit learn library for using python and using flask to deployed in Web apps.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"311 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEM51511.2021.9445368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Every Service nowadays has applications. If we want to order food but don't like to talk to someone, we simply go for the web apps or mobile apps and ordered food and it is the more convenient and easy method. so basically, the web application provides a virtual platform where we do lots of tasks from anywhere all around the globe. Here we make a responsive college community web application that helps the college students, faculty, and alumni to interact on one platform. As the objective of this paper is to elaborate the web application working functionality like the creation of fronted part using React Js, backend part by using Django framework, use of the database in web apps to store data in the database, fetch and serve data in the user interface, deployment of a website in the cloud, all components integration and the main part is the use of machine learning where we create a Machine learning NLP Model for text analysis and using Scikit learn library for using python and using flask to deployed in Web apps.