Students learn about AI-driven job searching
Students took a deep dive into the world of AI-driven job searching during an engaging workshop hosted by the Employability Catalyst Group in March.
Students learn about AI-driven job searching
Students took a deep dive into the world of AI-driven job searching during an engaging workshop hosted by the Employability Catalyst Group in March.
The session featured a hands-on walkthrough of GoBear, a platform designed to help job seekers optimise their resumes and tailor applications using artificial intelligence.
Led by student organisers Bikramjeet Singh and Celestial (Ni Chen), the workshop introduced attendees to key features of the platform, including resume scoring, keyword matching, and tips for improving application strength.
Students explored how their CVs performed against real job descriptions, received instant feedback, and learned how to revise their documents to meet applicant tracking system (ATS) standards.
The session also introduced the STAR (Situation, Task, Action, Result) method for structuring effective interview answers and professional statements. Students were encouraged to reflect on their own experiences and participated in small group discussions to compare feedback, evaluate suggestions, and share insights.
The workshop highlighted the growing role of AI in recruitment and empowered students to take a more strategic, data-informed approach to job applications. With strong peer collaboration and practical takeaways, the session left students better equipped to stand out in a competitive job market.
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