Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{194893,
        author = {Rugved Wakekar and Ravina Popli and Rushikesh Tarpe and Umang Gachake and Akshay Barse and Nayan Kadu},
        title = {AI-DRIVEN MENTOR–MENTEE MATCHING AND GUIDANCE PLATFORM FOR CAREER DEVELOPMENT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5687-5695},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194893},
        abstract = {Mentorship plays a crucial role in guiding students and professionals toward successful career development. However, traditional mentoring systems often face challenges such as limited accessibility, lack of personalized guidance, and difficulty in connecting mentors with suitable mentees. With the rapid advancement of digital technologies and artificial intelligence, there is a growing need for intelligent platforms that can simplify mentorship and provide real-time guidance. This research proposes an AI-driven mentor-mentee platform that integrates intelligent matching, real-time communication, and chatbot-based assistance to enhance the mentoring experience. The proposed system is developed using modern web technologies including React for the frontend, Node.js and Express.js for backend services, and MongoDB for efficient data management. The platform allows users to create profiles, discover mentors based on skills and interests, schedule mentoring sessions, and interact through real-time chat and video communication. Additionally, the system integrates an AI-powered chatbot using advanced language models to provide career guidance, answer queries, and support users in their learning journey. The proposed solution aims to improve mentorship accessibility, provide personalized recommendations, and enhance interaction between mentors and mentees. By combining artificial intelligence with scalable web technologies, the platform creates a smart and interactive environment that supports career guidance, knowledge sharing, and professional development for learners in a digital ecosystem.},
        keywords = {Artificial Intelligence, Mentor–Mentee Matching, Career Guidance System, AI Chatbot, Recommendation System, Web-Based Mentorship Platform, Real-Time Communication.},
        month = {March},
        }