• Sima Kutemate
• Gori Nebhwani
• Monika Rathod
• Shivganga Shejol
• Rakhi Gupta

Many students fail to choose proper careers simply because they do not receive adequate information about opportunities in their chosen fields. Students are unaware about the academic and non-academic career options. This work brings out the importance of adequate AI-driven career counseling systems in leading students in the light of different parameters, such as skill, academic performance, and other extra curricula activities. We derive the differentiated needs of career counseling and urgent requirements of meeting platforms suiting student’s interests by bringing together diverse student groups through such surveys. More confident explorations by the students in varied fields could be enabled, and better assist universities to design target career service towards building employability through improved career guidance.

AI-driven Career Guidance Systems, Academic and Non-Academic Career Exploration.

"ASSESSING THE NEED FOR NON-ACADEMIC CAREER GUIDANCE: A DATA-DRIVEN SURVEY USING INTEREST-MATCHING TECHNIQUES AND DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.g553-g556, December-2024, Available :http://www.jetir.org/papers/JETIR2412663.pdf

"ASSESSING THE NEED FOR NON-ACADEMIC CAREER GUIDANCE: A DATA-DRIVEN SURVEY USING INTEREST-MATCHING TECHNIQUES AND DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppg553-g556, December-2024, Available at : http://www.jetir.org/papers/JETIR2412663.pdf