- Monday, Dec 15th, 2025
International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
| TITLE | Careerbalance: Unveiling AI-Powered Guidance for Rural and Semi- Urban Youth |
|---|---|
| ABSTRACT | In today’s rapidly evolving job market, students and young professionals often face significant challenges in selecting appropriate career paths that align with their skills, interests, and opportunities. Traditional career guidance methods are limited in scope, often relying on manual counseling and generic aptitude tests that fail to capture the unique profiles of individuals. To address these limitations, this research presents the design and implementation of a Smart Career Guidance System (SCGS), developed using Python and Streamlit, and integrated with a machine learning–based recommendation model. The proposed system leverages rulebased filtering, skill matching algorithms, and AI-driven predictions to provide personalized career recommendations for users, especially targeting rural and semiurban youth who lack access to professional counseling services. The SCGS features a structured architecture with distinct modules, including a user interface for skill input and career preference selection, an AI-based career suggestion engine, an admin dashboard for monitoring users and feedback, and a SQLite database for persistent data storage. A Random Forest Classifier was employed to train the model using labeled datasets of skills and career outcomes, ensuring robust prediction accuracy. Additionally, feedback and analytics are integrated to refine recommendations over time. The system was tested for usability and efficiency, demonstrating that personalized career recommendations significantly improve user satisfaction and decision-making confidence compared to static methods. The results highlight the potential of SCGS to serve as an accessible, scalable, and intelligent career counseling alternative. The project also underscores the scope for future enhancements, such as incorporating natural language processing (NLP) for resume analysis and expanding the dataset for broader career coverage. Ultimately, this work contributes a technology-driven approach to career guidance, bridging the gap between education, skills, and employability. |
| AUTHOR | A. Nandhini, Anzul Ahammed. S Assistant Professor SG, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India Student of II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India |
| VOLUME | 12 |
| ISSUE | 5 |
| 24_Careerbalance Unveiling AI-Powered Guidance for Rural and Semi- Urban Youth.pdf | |
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