Connect Edge: Employment Services Applications

Abstract: Campus placements play a crucial role in bridging the gap between education and employment. Traditional placement systems often rely on manual processes, fragmented tools, and lack personalized interaction between stakeholders such as students, companies, and administrators. To address these limitations, we present Connect Edge—a comprehensive, full-stack web application designed to automate, streamline, and enhance the campus placement process using modern technologies and AI integration. Connect Edge features role-based dashboards for Admin, Student, and Company users, allowing secure, permission-based access to relevant functionalities. Companies can post job opportunities which are reviewed and approved by the Admin. Upon approval, students are notified via email and can view and apply for these positions. The platform also incorporates a community blogging section where students and alumni share placement insights and preparation tips, fostering peer learning and mentorship. A built-in resume builder helps students create professional resumes, while an integrated Gemini AI module evaluates resumes using ATS (Applicant Tracking System) standards and provides personalized improvement suggestions. This paper discusses the development lifecycle, architecture, and impact of Connect Edge in improving placement efficiency, student engagement, and recruitment transparency. The system not only bridges communication gaps but also supports career readiness by guiding students in building industry-aligned resumes and accessing relevant opportunities. With scalability and future enhancements in mind, Connect Edge sets a new benchmark for digitized placement systems in educational institutions.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-08
DOI
https://doi.org/10.22214/ijraset.2025.72182
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.00
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article

Connect Edge: Employment Services Applications

Prof. Jyoti Dhumal
International Journal for Research in Applied Science and Engineering Technology
Collaboration in agile enterprises
article

Connect Edge: Employment Services Applications

Prof. Jyoti Dhumal
article en

Abstract

Abstract: Campus placements play a crucial role in bridging the gap between education and employment. Traditional placement systems often rely on manual processes, fragmented tools, and lack personalized interaction between stakeholders such as students, companies, and administrators. To address these limitations, we present Connect Edge—a comprehensive, full-stack web application designed to automate, streamline, and enhance the campus placement process using modern technologies and AI integration. Connect Edge features role-based dashboards for Admin, Student, and Company users, allowing secure, permission-based access to relevant functionalities. Companies can post job opportunities which are reviewed and approved by the Admin. Upon approval, students are notified via email and can view and apply for these positions. The platform also incorporates a community blogging section where students and alumni share placement insights and preparation tips, fostering peer learning and mentorship. A built-in resume builder helps students create professional resumes, while an integrated Gemini AI module evaluates resumes using ATS (Applicant Tracking System) standards and provides personalized improvement suggestions. This paper discusses the development lifecycle, architecture, and impact of Connect Edge in improving placement efficiency, student engagement, and recruitment transparency. The system not only bridges communication gaps but also supports career readiness by guiding students in building industry-aligned resumes and accessing relevant opportunities. With scalability and future enhancements in mind, Connect Edge sets a new benchmark for digitized placement systems in educational institutions.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Openalex Percentile: Top 82%
Collaboration in agile enterprises
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