Firebase-Integrated Mobile Platform for Swipe-Driven Job Matching
DOI:
https://doi.org/10.61453/joit.v2025no27Keywords:
Job Matching, Flutter, Firebase, Swipe Interface, Resume GenerationAbstract
The swift transition to mobile-first recruitment platforms necessitates the implementation of systems for job matching that are more intuitive, efficient, and engaging. Current employment portals rely on text-dense listings, redundant forms, and restricted personalization, resulting in low match accuracy and, subsequently, diminished user interest. SwipeRight is a mobile application that combines the swiping interaction model with real-time data synchronization and AI-driven profile analysis to address these discrepancies. The objective is to enhance candidate-employer compatibility by facilitating smoother navigation, improving personalization, and alleviating the strain of manual screening. This solution utilizes Flutter for cross-platform deployment and Firebase for authentication, data storage, and real-time updates. Additional AI-driven elements, including Named Entity Recognition (NER), resume parsing, and TF-IDF with cosine similarity, are incorporated for the automated extraction of talents and experiences, hence facilitating a systematic job-recommendation framework. The application architecture has layers for presentation, business logic, services, and data administration. Experimental assessment and initial user comments indicate expedited application procedures for candidates and diminished shortlisting duration for recruiters. The real-time notifications, dynamic resume generation, and swipe-based filtering markedly improved user experience and engagement. Overall, SwipeRight offers a far more effective and user-centric mobile solution for job matching, establishing a readily scalable foundation for the advancement of AI-driven recommendations.
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