JobEzee – A Job Application Portal
Keywords:
Admin panel, Job application portal, Job card component, Job listing Notification, User authentication, User dashboard, User profile pageAbstract
Jobzee is an advanced job portal designed to make job searching and recruitment seamless across various industries. The platform is built using a modern tech stack, including React for an interactive front-end, Node.js for a robust back-end, and MongoDB for efficient data storage. To enhance functionality, Cloudinary API is integrated for image processing, and JSON Web Tokens (JWT) ensure secure authentication and password protection. Jobzee is designed to serve both recruiters and job seekers efficiently. Recruiters can effortlessly post, edit, and manage job listings, ensuring visibility for potential candidates. On the other hand, job seekers can browse job opportunities, apply for positions, and filter listings based on location and preferences. The platform offers a responsive and user-friendly interface, ensuring a smooth experience across all devices. To maintain a high-performance and bug-free environment, Jobzee undergoes API testing using Postman, ensuring seamless communication between different components. Additionally, advanced features such as location-based filtering and detailed job descriptions enhance the job search experience, allowing candidates to find suitable roles quickly. Security is a top priority for Jobzee, with private data protection measures and secure storage systems in place to safeguard user information. By combining the flexibility of React, the scalability of MongoDB, and the security of JWT, Jobzee provides a comprehensive, reliable, and efficient solution for modern recruitment needs. Whether you are an employer looking to hire or a job seeker searching for the right opportunity, Jobzee simplifies the process for you.
References
C. Amanova, S. B. Ozgur, F. Msilu, and F. Demir, “Demystifying the user experience: A case study on online job search engines,” Am. J. Qual. Res., vol. 5, no. 2, pp. 233–250, Dec. 2021. Available: https://www.ajqr.org/article/demystifying-the-user-experience-a-case-study-on-online-job-search-engines-11411.
S. Arunthathi, T. Logeshwari, and V. Anuratha, “A research paper on online job portal system,” International Journal of New Innovations in Engineering and Technology, vol. 24, no. 1, pp. 2362–2366, 2024. Available: https://www.ijniet.org/wp-content/uploads/2024/05/391.pdf .
A. S. Chouhan, A. K. Hiran, A. Sharma, and A. Tiwari, “A research on online job portal with AI assistant: A pathway to efficient recruitment,” Int. J. Adv. Res. Innov. Ideas Educ., vol. 10, no. 2, pp. 3617–3624, 2024. Available: https://ijariie.com/FormDetails.aspx?MenuScriptId=222142.
C. V. Dave, “Online job portal—A better way for finding jobs in the COVID-19 pandemic,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. XI, pp. 452–459, 2021. Available: https://www.ijraset.com/best-journal/online-job-portal-finding-jobs-in-the-covid19-pandemic.
V. H. Chaitra and Rajasulochana, “A study on factors affecting the effectiveness of job portals from job seekers perspective,” International Journal of Scientific Research and Modern Education (IJSRME), vol. 3, no. 1, pp. 22–31, 2018. Available: http://doi.org/10.5281/zenodo.1168563.
R. A. Sukamto and Y. Wibisono, “Enhancing the user experience of a portal website using user-centered design method,” in Proc. 6th Int. Conf. Sci. Inf. Technol. (ICSITech), Oct. 2020, pp. 171–175. Available: https://doi.org/10.1109/ICSITech49800.2020.9392044.
N. Aryan, R. Moncy, O. Daniel, and B. Nadar, “Werk—An online job portal,” International Journal of Research Publication and Reviews, vol. 5, no. 6, pp. 6140–6144, 2024. Available: https://ijrpr.com/uploads/V5ISSUE6/IJRPR30532.pdf
R. Yash, R. S. Rawat, and Rimpy, “Job Portal using Node JS,” International Journal of Research Publication and Reviews, vol. 5, no. 4, pp. 5673–5678, 2024. Available: https://ijrpr.com/uploads/V5ISSUE4/IJRPR25437.pdf.
N. R. Shantika, “UX research case study: AI-based job portal,” Accessed: Oct. 20, 2024. Available: https://medium.com/@nurishantika/ux-research-ai-based-job-portal-fd0af582f3f3.
Y.-H. Li, Y.-L. Li, M.-Y. Wei, and G.-Y. Li, “Innovation and challenges of artificial intelligence technology in personalized healthcare,” Scientific Reports, vol. 14, no. 1, p. 18994, Aug. 2024. https://www.nature.com/articles/s41598-024-70073-7.
