MyCareerPath: An Ai- Driven Smart Journey Towards Career Achievement

This     paper     has     presented     the     design     of MyCareerPath, an AI-Driven Hyperlocal Career and Recruitment Platform aimed at addressing the disconnect between local candidates and local employers that persists in conventional, keyword-driven recruitment platforms. By integrating AI-powered       candidate profiling,   personalized job recommendation,    skill-gap analysis,  learning-roadmap generation, and AI-assisted employer-side candidate matching within  a single React.js/Node.js/Express.js/MongoDB/Firebase platform, the proposed system seeks to move recruitment from generalized, macro-level hiring toward personalized, hyperlocal, and inclusive employment matching. The literature reviewed in this paper indicates that, while individual components of this design — resume matching, job recommendation,  and  accessibility-focused recruitment tools — have been studied separately, an integrated system of this scope, directed specifically at          hyperlocal       and       educationally-inclusive recruitment, has not been commonly reported. The practical significance of the work lies in its potential to reduce unnecessary migration and recruitment costs while strengthening regional workforce development; its academic contribution lies in demonstrating a coherent architecture for combining career guidance, personalized recommendation, and employer-side matching AI within one platform. Actual performance improvements will be substantiated once model training, system integration, and testing are complete.

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