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@article{174684,
        author = {Sahil Surve and Prachi Bebale and Shubham Yadav and Aursalan and Prof. Gitanjali Korgaonkar},
        title = {Career Compass: AI BASED CAREER COUNSELLING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {756-761},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174684},
        abstract = {The rapid growth of Artificial Intelligence (AI) has created new opportunities for personalized career guidance, helping individuals make informed choices about their professional journeys. The proposed method, called "AI-based Career Counselling," presents a system that combines the Myers-Briggs Type Indicator (MBTI) personality assessment with various user-specific factors, such as personal achievements, academic performance, educational background, and individual interests. By utilizing the MBTI framework, the system classifies users into specific personality types, which are then matched with appropriate career options. Furthermore, the system uses a detailed questionnaire to collect information about the user’s strengths, preferences, and goals. With this data, the AI algorithm produces customized career recommendations, ensuring a comprehensive and personalized approach to career guidance. It is unique in its integration of psychological insights from the MBTI test with data-driven AI methods, providing an innovative and effective solution for career counseling. The proposed system seeks to connect individual potential with career opportunities, empowering users to make informed decisions about their futures.},
        keywords = {Career Counselling, Myers Briggs type indicator, Machine learning, Questionnaire-Based Analysis, Data-Driven Techniques},
        month = {March},
        }