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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35265
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Geek-Grid is a transformative web application designed to bridge the gap between traditional education and the dynamic needs of modern industry. Powered by React.js and Firebase, Geek-Grid offers personalized learning, industry integrated content and intelligent job search algorithms to prepare learners for the competitive job market. This article explores the motivation behind Geek-Grid, its features, system requirements, and its impact on education and career readiness. The traditional education system often fails to keep pace with the rapidly changing demands of the modern workforce, creating a significant gap between what students learn and what employers need. Geek-Grid is a web application specifically designed to bridge this gap by integrating educational content with real-world industry requirements. Utilizing modern technologies such as React.js and Firebase, Geek-Grid offers a comprehensive learning platform that includes personalized learning paths, video lectures, informative articles, and live job alerts. It also provides recruiters with tools to search for and connect with suitable candidates, making it a dual-ended platform benefiting both students and employers. By leveraging the SERP API, Geek-Grid ensures that job listings are current and relevant, thereby enhancing the job search experience for users. This paper explores the motivation behind Geek-Grid, its innovative features, the technologies used in its development, and its potential impact on education and career readiness. Geek-Grid aims to not only enhance the learning experience but also to make students industry-ready, ultimately contributing to a more competent and prepared workforce.
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Publication Date
2/5/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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