CareerBot: Advanced AI Mentorship for Students’ Career Aspirations and Planning

Journal of Science Technology and Research (JSTAR) 5 (1):610-620 (2024)
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Abstract

The scope of the project encompasses the design, development, and implementation of AI-driven functionalities such as interest assessment, skill analysis, resume building, and personalized recommendations. The methodology involves data collection through user inputs, preprocessing of data for analysis, and the creation of a robust system architecture comprising frontend interfaces, backend servers, and database management. The implementation of the application involves a comprehensive technology stack, including Python for AI algorithms, TensorFlow for ML models, React.js for front end development, Flask for backend services, and PostgreSQL for database management.

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