Job Search System: Application of Intelligent Agents

The process of finding jobs that align with an individual’s skills and interests can be a challenging and timeconsuming task for many job seekers. This difficulty often stems from a lack of understanding of an organization's objectives, work culture, and available job openings. Additionally, the growing trend of side work and part-time employment, especially in the form of summer jobs, has become a year-round necessity for many individuals. This research focuses on exploring innovative platforms that facilitate finding local, small, paid tasks that individuals can engage in during their spare time. These platforms allow users to select their own work hours and determine the amount of time they wish to commit, offering a flexible solution for those seeking quick cash. Examples of tasks include computer repairs, babysitting, lawn mowing, and other similar services. This paper aims to analyze the effectiveness of such platforms in connecting individuals with local job opportunities, thus offering a convenient and accessible solution for users seeking supplemental income.