AI Career Counsellor App

Authors

  • Tanmayee Umaje, Tanaya Shah, Tejal Huke, Pratiksha Jamdade, Mr. Atul Kalukhe Department of Computer Science and Engineering, Sanjay Ghodawat, Institute, Atigre, Kolhapur – 416118 Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

AI, Career Guidance, Machine Learning, Student Counselling, College Recommendation, Decision Trees, Collaborative Filtering, CAP Rounds, Personalization, Educational Technology

Abstract

The AI Career Counsellor App leverages advanced machine learning algorithms and data analytics to provide personalized career guidance to students navigating an increasingly complex landscape of career opportunities. Traditional career counselling methods often lack the personalization and real-time data integration necessary for effective decision-making in today's dynamic job market. This comprehensive system addresses these limitations by implementing sophisticated recommendation algorithms, integrating live educational data from CAP rounds, and providing continuous updates on industry trends and opportunities.
The application employs decision trees for transparent career path recommendations and collaborative filtering for personalized college and course suggestions. Through extensive analysis of user preferences, academic performance, skill assessments, and industry demand patterns, the system generates ranked recommendations that align student capabilities with market opportunities.

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Published

31-10-2025

Issue

Vol. 2 No. 10 (2025): IJSCI VOLUME-02 ISSUE-10 OCTOBER 2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
Tanmayee Umaje, Tanaya Shah, Tejal Huke, Pratiksha Jamdade, Mr. Atul Kalukhe, “AI Career Counsellor App ”, Int. J. Sci. Inno. Eng., vol. 2, no. 10, pp. 1348–1351, Oct. 2025, doi: 10.70849/IJSCI.