Online job application with job recommendation

Goh, Jin Xing (2025) Online job application with job recommendation. Final Year Project, UTAR.

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Abstract

This project is an Online Job Application and Job Recommendation system designed for academic purposes. It is a development-focused project within the field of Information Systems. The system serves as a platform to assist job seekers in finding suitable and satisfactory employment opportunities. In addition to helping job seekers, the system allows recruiters to post their job openings directly within the application. If job seekers have their own CVs prepared, they can upload them to their profile in the system, where the CV will be saved in their account. The system will also extract key information from the CV and store it in the database. Moreover, the application includes a job-matching feature that automatically pairs jobs with job seekers based on their technical and non-technical skills. After matching, the system recommends relevant and suitable jobs to the user, allowing them to make a final choice. When a job seeker applies for a job, recruiters are granted access to view the applicant’s resume and personal information. Recruiters can then respond by scheduling an interview or rejecting the application. If recruiters urgently need to hire workers, the system provides a feature to identify potential candidates who have not yet applied for the job. Recruiters can send job offers to these users, and if interested, schedule interviews with them. The system will notify users when they receive a job offer. The hardware used for development is an Acer brand laptop. The software includes Visual Studio 2022 with the C# UWP Framework. Firebase is utilized as the database to store unstructured data such as PDF files and profile images. Microsoft SQL Server Management Studio (MSSQL) is used to manage structured data like user information and job details.

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