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Skill Bridge: A secure platform for storing and managing Educational Qualifications

Sowmya Ranjan Samanta M. Srujan Vamshi B. Sathwik Syed Naveed Muzammil

Subject area: Science,Engineering and Technology  ·  Area of research: Education

Abstract

This research paper explores the development of a student-company direct hiring website as an innovative e-recruitment solution. The study examines the concept of e-recruitment and its significance in modern hiring practices, analyzing existing platforms to identify unique features for the proposed website. It discusses the benefits for both students and companies, outlines technical requirements, and addresses potential challenges such as data privacy and equal opportunity concerns. The paper also investigates the impact on traditional recruitment methods, scalability options, and future enhancements. Additionally, it considers legal and ethical implications and proposes a methodology for evaluating the website's effectiveness post-launch. This comprehensive approach aims to provide insights into the feasibility and potential impact of a specialized e-recruitment platform tailored for student-company interactions. The technology analyzes job needs, employer preferences, and worker talents to provide personalized employment matching using machine learning. The platforms efficiency is further increased by automated contract administration and real-time workforce availability tracking. While secure payment integration guarantees dependable and seamless transactions between employers and employees, a transparent rating and review system fosters trust. The technical underpinnings of Skill Bridge are examined in this article. These include React for providing an interactive frontend experience, Node.js with Express for creating scalable backend services, and PostgreSQL for storing structured data. To further enhance job placements, AI-powered analytics are also used to forecast trends in labor availability and demand.

Keywords

Recruitment System, Data Privacy, Security, Scalability, Equal opportunity hiring, Skill Evaluation, Digital recruitment strategies intelligent job matching, real-time worker tracking, automated contracts, PostgreSQL, Node.js, Express, React, job market analytics, blockchain integration, scalable hiring solution.

References

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How to cite this paper

Sowmya Ranjan Samanta, M. Srujan Vamshi, B. Sathwik, Syed Naveed Muzammil "Skill Bridge: A secure platform for storing and managing Educational Qualifications" Iconic Research And Engineering Journals Volume 8 Issue 10 2025 Page 986-991
Sowmya Ranjan Samanta, M. Srujan Vamshi, B. Sathwik, Syed Naveed Muzammil "Skill Bridge: A secure platform for storing and managing Educational Qualifications" Iconic Research And Engineering Journals, vol. 8, no. 10, Apr. 2025
Sowmya Ranjan Samanta, M. Srujan Vamshi, B. Sathwik, Syed Naveed Muzammil (2025). Skill Bridge: A secure platform for storing and managing Educational Qualifications. Iconic Research And Engineering Journals, 8(10).
Sowmya Ranjan Samanta, M. Srujan Vamshi, B. Sathwik, Syed Naveed Muzammil "Skill Bridge: A secure platform for storing and managing Educational Qualifications" Iconic Research And Engineering Journals, vol. 8, no. 10, Apr. 2025.
@article{1707990,
      author = {Sowmya Ranjan Samanta, M. Srujan Vamshi, B. Sathwik, Syed Naveed Muzammil},
      title = {Skill Bridge: A secure platform for storing and managing Educational Qualifications},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {10},
      pages = {986-991},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707990.pdf},
      abstract = {This research paper explores the development of a student-company direct hiring website as an innovative e-recruitment solution. The study examines the concept of e-recruitment and its significance in modern hiring practices, analyzing existing platforms to identify unique features for the proposed website. It discusses the benefits for both students and companies, outlines technical requirements, and addresses potential challenges such as data privacy and equal opportunity concerns. The paper also investigates the impact on traditional recruitment methods, scalability options, and future enhancements. Additionally, it considers legal and ethical implications and proposes a methodology for evaluating the website's effectiveness post-launch. This comprehensive approach aims to provide insights into the feasibility and potential impact of a specialized e-recruitment platform tailored for student-company interactions. The technology analyzes job needs, employer preferences, and worker talents to provide personalized employment matching using machine learning. The platforms efficiency is further increased by automated contract administration and real-time workforce availability tracking. While secure payment integration guarantees dependable and seamless transactions between employers and employees, a transparent rating and review system fosters trust. The technical underpinnings of Skill Bridge are examined in this article. These include React for providing an interactive frontend experience, Node.js with Express for creating scalable backend services, and PostgreSQL for storing structured data. To further enhance job placements, AI-powered analytics are also used to forecast trends in labor availability and demand.},
      keywords = {Recruitment System, Data Privacy, Security, Scalability, Equal opportunity hiring, Skill Evaluation, Digital recruitment strategies intelligent job matching, real-time worker tracking, automated contracts, PostgreSQL, Node.js, Express, React, job market analytics, blockchain integration, scalable hiring solution.},
      month = {April},
  }