For Cardiff University students, part-time work not only provides them with financial support but also serves as an important means to enhance practical skills and accumulate social experience. However, Cardiff University students generally encounter issues such as fragmented information, low job matching rates, and conflicts between study and work schedules when seeking part-time employment. Existing recruitment platforms lack intelligent services tailored to students' specific needs, and a data-driven, customized solution is urgently needed. Therefore, this project aims to build a part-time job information platform specifically designed for students at Cardiff University. By leveraging intelligent recommendation algorithms(Collaborative filtering,Content-based recommendations), AI conversation function and course management technology, it can optimize information integration and enhance job matching accuracy, ensuring that students can arrange part-time jobs while balancing their studies.