The process of recruitment has been undergoing a significant transformation, evolving from traditional resume-based hiring to AI-driven, skill-based assessments and decisions, facilitated by Corporate Talent Acquisition Platforms (CTAPs) [1]. Unlike conventional keyword-based filtering, modern hiring platforms incorporate behavioral analysis, work samples, and real-time assessments to evaluate candidates more effectively [2]. Moreover, predictive employment forecasting is being leveraged to anticipate workforce demands, thereby reducing the pressure of last-minute hiring decisions [3].Another key development is the increasing focus on candidate experience, incorporating AI-driven career coaching and personalized job recommendations to enhance engagement [4]. Employers are also striving for greater transparency and inclusivity in automated decision-making, addressing concerns around AI bias and ethical hiring practices [5]. CTAPs are no longer just recruitment tools but are actively shaping the future of work by introducing agility, efficiency, and diversity into corporate hiring [6].This study further implemented security and access control solutions using Spring Security and JWT authentication, ensuring robust protection of user data. Additionally, Docker and Kubernetes were utilized for enterprise-grade scalable cloud deployment. Findings from the research indicate that the Java-based talent acquisition platform significantly reduces hiring time, improves candidate selection accuracy, and enhances user experience for both recruiters and job seekers. The study contributes to the growing field of digital recruitment, demonstrating the effectiveness of full-stack Java in building scalable and efficient hiring platforms.
React-js, Next-js, MongoDB Online Leaming Platform: Course Creation and Editing, Parent Portal, Teacher-Parent Communication: Scalable Web Application.
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