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Designing a flask web application for academic forum and faculty rating using sentiment analysis

How a student who missed the class can know and refer to the topics of that day’s class? How an introverted student who never interacts with faculties because of shyness, can interact with faculties freely? How students can rate the faculty’s teaching? Is it by filling the feedback form? No, for sol...

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Bibliographic Details
Main Authors: Srikanth, G., Reddy, M. Sai Kumar, Sharma, Sachin, Sindhu, Reddy, Raghavendra
Format: Conference Proceeding
Language:English
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Summary:How a student who missed the class can know and refer to the topics of that day’s class? How an introverted student who never interacts with faculties because of shyness, can interact with faculties freely? How students can rate the faculty’s teaching? Is it by filling the feedback form? No, for solving all these problems, we came up with an idea that will help you to interact with faculty, and in giving feedback about faculty. The importance of our project is, here at the end of the day, faculties will post what they had taught in the class along with topics and students can log in to the website and view the posts and if any doubt raises in students mind regarding that topic, they can freely ask doubts in the comment section. As we know many students have problem with faculties teaching like some doesn’t understand their teaching and they hesitate to complain to higher authorities. so, for this, students can comment and with the help of comments the rating is done. And the cool thing is the authentication system is very strong that implies only our college students can with their registered IDs can log in. We are going to implement our project entirely by using the software. The technology stack and the software that we are using in order to implement this project are HTML (Hypertext Markup Language), CSS (Cascading Style sheet), JS(JavaScript), Python programming language, some cloud services for database and as well as servers for deploying our Flask app, Machine learning. The expected outcome is a webpage that provides the functionality of creating the student/faculty account by signing up and the faculty can create/edit their post by selecting a date from the calendar and also, he/she can add students to his forum so that the students can view the post and put the comments in the comments section for which the faculty can respond and depending upon the comments were given by students the rating for that particular post can be created out of 10. Our project can be used in most of the colleges which don’t have any academic forum type of facility where students can view the topics covered and rate the particular session of faculty. This project concludes that as we are moving to online education rather offline the students can somehow face issues when they want to clarify some doubts and also due to the internet issues they may miss the class, at that time our project can be pretty useful and also students generally hesitate to review the faculty sessio
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0125221