Project Abstract

Job seekers especially recent graduate and immigrants struggle to match jobs with their skills. They struggle to tailor CVs to different job descriptions. Although there are existing job platforms, such as Indeed, LinkedIn, Glassdoor, they have limited service provided for AI-enhanced CV optimization and content reuse features. This project proposes a web application that explores the use of AI and a more innovative structure to merge CV editor and job-hunting applications, to find out the way to relieve job mismatch and unemployment issues. The application includes a company portal that allows job posting, and a user portal that allows detailed CV building and application. The extra feature includes a comment system on the company to provide insight for applicants to apply for jobs. The project explores different AI models, to analyse job descriptions and selected CV components to provide match suggestions. The web application is built using Laravel with Livewire for UI and component-based interaction, using MVC architecture. The AI model is built using Python and integrated into the Laravel PHP environment through API. Synthetic training data are obtained through large language model. A fully functional, AI-powered job-hunting web application with CV optimization features was successfully built. Based on user testing and feedback, the application was iteratively improved. The initial AI integration was completed, providing insights into how job-hunting platforms can effectively combine with CV builders to enable component reuse and more tailored applications. This project demonstrates the potential of combining artificial intelligence with modern web frameworks to create an innovative job-matching platform. The reusable CV editing system with AI-driven suggestions improved the user experience for job seekers. The integration of AI analysis, user feedback, and component-based spark insight for future career support tools that are smarter, more personal, and more effective.

Keywords: Web Application Development, Machine Learning, Job-Hunting CV Optimization

 Conference Details

Session: B

Location: Sir Stanley Clarke Auditorium at 13:30 15:30

Markers: Jiaxiang Zhang, Sara Sharifzadeh

Course: BSc Computer Science 3yr FT

Future Plans: I’m looking for work