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@article{176113,
        author = {Sakshi P. Nirmal and Ayushi A. Tasle and Alina Khan and Tanushka R. Raut and Prof. J. S. Wankhade},
        title = {Insight Navigator: AI Based Career Recommendation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6046-6050},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176113},
        abstract = {Career recommendation at the secondary school level is crucial in guiding students towards informed academic and professional decisions. However, the absence of accurate recommendations and personalized counseling often leads to confusion and misaligned career choices. To overcome this challenge, this project proposes "Insight Navigator", an AI-based career recommendation system designed to assist secondary students in identifying suitable career paths early on. The system leverages machine learning algorithms to generate recommendations based on an interest-based test, aligning career options with students’ preferences. Additionally, an aptitude test evaluates quantitative, logical, and verbal reasoning skills, with visual representation to enhance self-awareness. A psychometric test is also integrated to assess personality traits and match them with appropriate career domains. A chatbot provides instant support, while a feedback system collects user input to continuously improve system performance. By offering accessible, data-driven career guidance, Insight Navigator empowers students to make well-informed decisions for their future.},
        keywords = {AI-based career recommendation, aptitude analysis, interest test, machine learning, psychometric test},
        month = {April},
        }