International Journal of Science, Engineering and TechnologyAuthors: Dr. A. C. Sawant, Aniket Solanke, Laxman Ghodke, Rohan Gore, Sumit Lohar
Abstract: The Job Aggregator Portal is an intelligent platform that consolidates job listings from multiple sources to simplify the employment search process for users. It leverages APIs such as Adzuna, Jooble, and JSearch to provide real-time, up-to-date job information across various domains. The portal incorporates AI-ML– based resume analysis to recommend suitable jobs based on user skills and experience, enhancing personalization and efficiency. Built using React for the frontend and Spring Boot for the backend, the system ensures seamless data management, user authentication, and fast performance. By integrating smart algorithms and modern web technologies, the Job Aggregator Portal significantly improves the job search experience for users while assisting companies in reaching the right candidates efficiently. Furthermore, the Job Aggregator Portal addresses major challenges in the job search ecosystem—such as data redundancy, fake listings, and inefficient filtering—by implementing real-time synchronization, data validation, and intelligent ranking algorithms. The system’s modular architecture allows easy scalability and integration of additional APIs, ensuring adaptability to evolving market trends. It also emphasizes data security and privacy by using secure API communication and encrypted user authentication. The AI-driven recommendation engine continuously learns from user interactions, improving job relevance over time. Additionally, the platform provides valuable insights through analytics dashboards, helping recruiters understand user preferences and optimize postings.
