A College Student Employment Prediction and Guidance System Based on Blockchain and Artificial Intelligence Technology

DOI

10.2991/978-94-6463-552-2_22How to use a DOI?

Keywords

Student Employment Portal; Blockchain; Artificial Intelligence (AI); Django; HTML; CSS; JavaScript; Job Search; Job Matching; Secure Records; Personalized Recommendations; Web Development; User Experience; Transparency; Efficiency; Technology Integration

Abstract

The Student Employment Portal project is designed to streamline job opportunities for students, providing a comprehensive platform for applying to school jobs, part-time work, study work programs, and full-time positions post-graduation. Utilizing cutting-edge technologies such as Blockchain, Artificial Intelligence (AI), Django, HTML, CSS, and JavaScript, the portal ensures a secure, efficient, and user-friendly experience for both students and employers. Block-chain technology is employed to maintain secure and transparent records of job postings, applications, and employment histories. This immutable ledger reduces fraud and enhances trust among users. AI integration facilitates personalized job recommendations based on individual student profiles and application histories, improving the job matching process. The AI models, built using machine learning algorithms, analyze various factors such as skills, academic performance, and past experiences to suggest suitable job opportunities. The portal’s backend is powered by Django, a robust and scalable web framework that simplifies the development process and ensures high performance. HTML, CSS, and JavaScript are used to create an intuitive and responsive user interface, providing a seamless browsing experience across devices. Features like dynamic carousels and dark mode enhance user engagement and accessibility.

The primary objectives of this project include simplifying the job search process for students, increasing the visibility of job opportunities, and leveraging technology to provide personalized job recommendations. The portal also aims to create a reliable and tamper-proof system for managing employment records, benefiting both students and employers. Results from initial testing indicate significant improvements in user satisfaction and engagement, with students finding suitable job matches more quickly and easily. The integration of Blockchain and AI has proven to be effective in enhancing the overall functionality and security of the platform. In conclusion, the Student Employment Portal successfully demonstrates how advanced technologies can transform the job search and application process for students, making it more efficient, transparent, and user-centric.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yang Wang
AU  - Deyou Li
AU  - Wei Jiang
AU  - Litong Chen
PY  - 2024
DA  - 2024/10/27
TI  - A College Student Employment Prediction and Guidance System Based on Blockchain and Artificial Intelligence Technology
BT  - Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024)
PB  - Atlantis Press
SP  - 232
EP  - 253
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-552-2_22
DO  - 10.2991/978-94-6463-552-2_22
ID  - Wang2024
ER  -