Career Mentorship Platform Using AI-Powered Recommendations

  • Unique Paper ID: 169900
  • Volume: 11
  • Issue: 6
  • PageNo: 2807-2810
  • Abstract:
  • The Career Mentorship Platform Using AI-Powered Recommendations project aims to improve mentorship access for students and professionals in the fast-paced educational environment. It uses advanced matching algorithms and a chatbot to facilitate interactions, improve the mentorship experience, and offer features like automated calendar scheduling, embedded video conferencing, and real-time feedback collection.

Copyright & License

Copyright © 2025 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.

BibTeX

@article{169900,
        author = {P. Vidhya and S.P. Divyanka and S.A. Sangavi and A. Santhoshini},
        title = {Career Mentorship Platform Using AI-Powered Recommendations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2807-2810},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169900},
        abstract = {The Career Mentorship Platform Using AI-Powered Recommendations project aims to improve mentorship access for students and professionals in the fast-paced educational environment. It uses advanced matching algorithms and a chatbot to facilitate interactions, improve the mentorship experience, and offer features like automated calendar scheduling, embedded video conferencing, and real-time feedback collection.},
        keywords = {Mentor matching, AI-driven chatbot, skill development, educational guidance, mentor-mentee platform, Recurrent Neural Network, Seq2Seq, automated booking, feedback integration, career advancement.},
        month = {November},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 2807-2810

Career Mentorship Platform Using AI-Powered Recommendations

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