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@article{178962,
        author = {Suraj  Vaidya and Karishma Misal and Sheetal Pandey and Piyush Sarve and Ankit Adpawar},
        title = {AI-Driven Career Path Finder & Navigator Revolutionizing Career Guidance with Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6224-6233},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178962},
        abstract = {Most students worldwide struggle to find a career path after completing the higher secondary education. As students move through the phases, the most common question students have is what to do after the 12th grade, which causes them to have many doubts and second thoughts. The academic journey of a student becomes a crucial factor in directing them towards an appropriate professional path in the suggested automated career counseling system. The system efficiently assesses the student's complete profile by entering their scores from the tenth grade and giving information about their extracurricular activities. By taking a comprehensive strategy, the likelihood of academic misalignment is decreased and the danger of making poor professional decisions is increased. After that, the system creates customized suggestions based on the student's extracurricular activity and academic standing, promoting a more knowledgeable and individualized approach to career counseling.},
        keywords = {Career Counseling, Classification, K Nearest Neighbor, Machine Learning Algorithms, Support Vector Machine.},
        month = {May},
        }