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@article{193547,
        author = {Pavithran P K and Dr. M. Abinaya and Aathivel M and Jeya Prakash J},
        title = {PathNexus AI: A Human-Centered AI Framework for Personalized Career Guidance, Virtual Interview Intelligence, and Predictive Learning Analytics.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1272-1278},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193547},
        abstract = {In an era marked by rapid technological disruption, intense competition, and continuously evolving industry expectations, students and professionals face significant challenges in making informed academic and career decisions. Traditional career guidance systems remain largely static and generalized, lacking adaptability to individual capabilities and real-time market dynamics [1], [3]. Recent advancements in artificial intelligence and recommender systems highlight the transformative potential of data-driven personalization in decision support systems [2], [26], [29].
PathNexus AI is proposed as an intelligent, human-centered career guidance and mentorship platform that integrates advanced Artificial Intelligence with empathetic human support. Built on scalable web technologies and cloud-based architecture, the system ensures accessibility, flexibility, and institutional scalability. By leveraging Machine Learning and Natural Language Processing, the platform analyzes resumes, skills, interests, and behavioral patterns to deliver precise course, mentor, and career pathway recommendations aligned with industry requirements [6], [8], [28]. Transformer-based NLP models enhance semantic understanding and skill extraction accuracy [11],[12],[13],[14].
An interactive radar dashboard offers holistic performance insights across academic readiness, employability skills, communication ability, and emotional stability, grounded in educational data mining principles [6], [7]. The Virtual Real-Time AI Interview Preparation Framework simulates structured interview environments and provides automated feedback supported by validated AI-based assessment models [16],[17],[18],[19]. Adaptive exam planning and intelligent matrix-factorization techniques further strengthen personalized learning pathways [8], [26], [27]. Additionally, predictive wellness analytics enable early burnout detection through affective computing and machine learning methodologies [21],[22],[23],[24].
By seamlessly integrating intelligent automation with continuous mentorship, PathNexus AI fosters sustainable academic excellence and long-term professional growth.},
        keywords = {Career Guidance Platform, Psychological Counselling, Course Recommendation, AI-Powered Mentorship, Machine Learning Recommendations, Skill Assessment Quizzes, Virtual AI Interview Preparation, Personalized Learning Pathways, Competitive Exam Planning, Mentor–Mentee Matching, Resume Analysis, Mental Health & Burnout Analytics, Social-Emotional Intelligence},
        month = {March},
        }