使用机器学习实现Web应用程序

Ankit Verma, Chavi Kapoor, Abhishek Sharma, B. Mishra
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引用次数: 3

摘要

现在每个服务都有应用程序。如果我们想点餐,但不想和别人说话,我们只需使用网络应用程序或移动应用程序来点餐,这是更方便、更简单的方法。基本上,web应用程序提供了一个虚拟平台我们可以在全球任何地方完成很多任务。在这里,我们制作了一个响应式的大学社区网络应用程序,帮助大学生、教师和校友在一个平台上进行互动。本文的目的是详细阐述web应用程序的工作功能,如使用React Js创建前端部分,使用Django框架创建后端部分,使用web应用程序中的数据库在数据库中存储数据,在用户界面中获取和提供数据,在云中部署网站,所有组件集成,主要部分是使用机器学习,我们创建了一个机器学习NLP模型用于文本分析,并使用Scikit学习库使用python和flask部署在Web应用程序中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Application Implementation with Machine Learning
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.
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