Workbridge: A Smart Web-Based Platform for Connecting Job Seekers and Employers | IJCT Volume 13 – Issue 3 | IJCT-V13I3P58
International Journal of Computer Techniques
ISSN 2394-2231
Author
Gaurav Patil, Jaydeep Bhoite, Vinali Ahire, Mannat Bagga, Sumit Sonawane, Prof. Chadchankar Amarnath
Abstract
Finding a job as a fresh graduate has never been easy — and the tools available today make it harder than it needs to be. Most job portals are built with experienced professionals in mind, leaving students and new graduates navigating platforms that were never really designed for them. Workbridge changes that. It is a web-based job and internship portal built specifically to connect first-time job seekers with employers in a structured, transparent, and easy-to-use environment. The platform gives students role-specific dashboards, resume upload, and real-time application tracking, while employers get a clean interface to post openings and shortlist candidates without sifting through irrelevant applications. Under the hood, Workbridge runs on Python (Django), HTML/CSS/JavaScript, and SQLite/MySQL, using a 3-tier architecture that keeps things fast, secure, and scalable. Every core module — from login and profile creation to job search and candidate management — has been tested and works as intended. This paper walks through how Workbridge was designed, built, and evaluated, and why it represents a practical step toward closing the employment gap for fresh graduates.
Keywords
Job Portal, Fresher Employment, Django, Web Application, Application Tracking, Employer Dashboard, Recruitment Platform.
Conclusion
Workbridge started with a simple observation: the tools available for fresh graduates entering the job market are not good enough. Most platforms were built for people who already have careers, and that leaves students — the people who need help the most — without a real solution. This paper described how we set out to change that.
The result is a complete, working platform built on Django, HTML/CSS/JavaScript, and SQLite/MySQL. Every module was implemented and tested — login, profile creation, job search, application tracking, and employer candidate management — and everything passed. The system holds up well under realistic usage conditions, keeps data secure, and gives both students and employers an experience that makes sense for their actual needs.
We identified five gaps in existing research — no fresher-first design, no live application tracking, no lightweight end-to-end tool, limited SME support, and weak data privacy — and addressed each one directly in how Workbridge was built. The modular architecture also means we are not done. The next natural steps include adding AI-driven job recommendations, resume scoring, mobile support, and push notifications for status updates.
More than a research project, Workbridge is a practical tool. With the right deployment, it could genuinely help reduce the gap between the number of graduates entering the workforce each year and the number who find meaningful work quickly. That was the goal from the beginning, and we believe this platform is a real step in that direction.
References
[1]A. Sharma, B. Rao, and C. Mehta, “AI-Powered Resume Screening Using BERT-Based NLP Models,” International Journal of Artificial Intelligence in Recruitment, Vol. 12, No. 3, pp. 45–58, 2024.
[2]R. Patel and D. Jain, “Blockchain-Based Credential Verification for Digital Job Portals,” IEEE Transactions on Information Forensics and Security, Vol. 19, pp. 2310–2322, 2024.
[3]S. Kumar, P. Singh, and M. Kaur, “Mobile-First Job Portal Design for Tier-2 and Tier-3 Cities in India,” Proc. International Conference on Human-Computer Interaction (HCI India), pp. 112–119, 2024.
[4]V. Gupta and R. Agarwal, “Scalable Cloud-Based Recruitment Infrastructure Using AWS Microservices,” Journal of Cloud Computing: Advances, Systems and Applications, Vol. 13, No. 1, pp. 78–91, 2024.
[5]M. Joshi and P. Nair, “Fresher-Centric Career Platform: Design Principles and User Experience Study,” ACM SIGCHI Extended Abstracts, pp. 234–240, 2024.
[6]R. Singh, K. Verma, and T. Bose, “Real-Time Job Recommendation Engine Using Collaborative Filtering,” Expert Systems with Applications, Vol. 241, Article 122687, 2025.
[7]A. Verma, N. Sharma, and S. Gupta, “Gamification Strategies for Increasing Engagement in Digital Job Portals,” Computers in Human Behavior, Vol. 153, Article 107985, 2025.
[8]D. Mehta and K. Shah, “Employer Analytics Dashboard for SME Recruitment: A Django-Based Approach,” Journal of Systems and Software, Vol. 208, pp. 111890, 2024. [9]H. Kaur, P. Gill, and R. Sandhu, “Bias Detection and Mitigation in Automated Hiring Algorithms,” AI & Society, Vol. 40, pp. 567–581, 2025.
[10]P. Desai, S. Kulkarni, and A. Patil, “Integrated Interview Scheduling System Using Google Calendar API in Recruitment Platforms,” Proc. National Conference on Emerging Technologies in Computer Science (NCETCS), pp. 88–95, 2025.
[11]V. Rao and T. Krishnan, “Django Framework Performance Benchmarking for High-Traffic Web Applications,” International Journal of Web Engineering and Technology, Vol. 19, No. 2, pp. 155–172, 2024.
[12]S. Banerjee and R. Das, “Role-Based Access Control in Educational Web Portals: Security and Privacy Considerations,” Journal of Information Security and Applications, Vol. 78, Article 103567, 2024.
[13]A. Pandey, R. Tiwari, and S. Mishra, “User Experience Design for Entry-Level Job Seekers: A Usability Study,” International Journal of Human-Computer Studies, Vol. 182, Article 103178, 2025.
[14]M. Chatterjee and S. Roy, “Database Optimization Strategies for Scalable Recruitment Platforms Using MySQL,” Proc. IEEE International Conference on Data Engineering (ICDE), pp. 1045–1052, 2024.
K. Iyer and P. Nambiar, “Future Trends in Digital Recruitment: AI, Blockchain, and the Gig Economy,” Journal of Human Resource Management and Technology, Vol. 6, No. 1, pp. 12–28, 2025.
How to Cite This Paper
Gaurav Patil, Jaydeep Bhoite, Vinali Ahire, Mannat Bagga, Sumit Sonawane, Prof. Chadchankar Amarnath (2026). Workbridge: A Smart Web-Based Platform for Connecting Job Seekers and Employers. International Journal of Computer Techniques, 13(3). ISSN: 2394-2231.
