International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
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MentorMe.AI: A Personalized GenAI-Powered Career Coach
| Author(s) | Ms. Reshik Rabacca A, Ms. Vaishali S, Ms. Swetha K |
|---|---|
| Country | India |
| Abstract | The development of Intelligent Tutoring Systems (ITS) has evolved from traditional rule-based engines to advanced platforms powered by Artificial Intelligence (AI), enabling highly personalized learning experiences. Despite these advancements, a critical gap persists in extending such intelligent systems to the domain of career coaching, which inherently demands nuanced, context-aware, and multi-dimensional guidance. This paper introduces MentorMe.AI, a novel, personalized career coaching system that harnesses the power of Generative AI (GenAI) and avatar-based technology to deliver adaptive, emotionally-aware, and user-centric guidance. Building upon the foundational principles of ITS and conversational AI, MentorMe.AI overcomes the limitations of conventional, static career advice by offering a dynamic, interactive coaching experience. The system architecture integrates a GenAI-driven dialogue engine with an emotion-aware avatar, designed to provide real-time feedback, identify user strengths and weaknesses, and foster self-directed learning. Through a comprehensive methodology—comprising an advanced Natural Language Processing (NLP) pipeline and a constructivist approach to detecting and addressing unproductive behaviors—this research demonstrates how MentorMe.AI enhances user engagement and delivers a more effective, scalable, and empathetic career coaching experience. |
| Keywords | Intelligent Tutoring Systems (ITS), Generative AI (GenAI), Conversational Agents, Career Coaching, Personalized Learning, Emotion-Aware AI, Avatar Technology. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-10-13 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.57481 |
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E-ISSN 2582-2160
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