Student Asessment and Career Prediction System

dc.contributor.authorFaruque, Sakir Hossain
dc.date.accessioned2025-09-23T04:41:32Z
dc.date.available2025-09-23T04:41:32Z
dc.date.issued2024-07-24
dc.descriptionProject Report
dc.description.abstractIn today’s world, choosing a suitable career is difficult for undergraduate students. Most of the time, students cannot choose a suitable career despite their skills and abilities. One of the main reasons is proper guidance and enough facility. The student assessment system is one of the artificial intelligence-based systems that helps students choose the right career path with proper guidance and all kinds of facilities. The student assessment system focuses on the difficulties that create barriers to lead a student to choose a suitable field for their life. So that the system introduces a collection of features to solve the difficulties of choosing the right career path. Initially, the system is developed for Computer Science and Engineering students’ career selection. By collecting comprehensive student data, the system employs advanced data analysis techniques to predict and recommend personalized career paths aligned with individual skills, interests, and past experiences. The core functionality of the system lies in its ability to assist students in identifying faculty matches based on their unique skill sets and interests. This feature will lead a student to proper career guidance and help them to face real-life challenges. This will create an interactive bonding between students and faculties. Faculty can track student progress and engage them in various competitive tasks which will build their confidence and make their life more enjoyable. There is also a chance to build community between similar skills and interest students. So that they can share knowledge and ideas and invent new things.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14689
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14689
dc.language.isoen
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectEducational Data Mining
dc.subjectCareer Guidance
dc.subjectEducational Technology (EdTech)
dc.titleStudent Asessment and Career Prediction System
dc.typeOther

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