Making Career Choices and AI Based Counselling Accessible to Every Child at Secondary Level Along with Aptitude Tests and Detailed Career Paths

Career decision-making is a critical phase in a student’s life, often influenced by societal pressure, lack of guidance, and limited access to personalized counseling. This paper presents an AI-based Career Recommendation System designed to assist secondary and higher secondary students in identifying suitable academic streams and career paths based on their interests, goals, and personality traits. The system uses a machine learning-based classifier trained on student response data to recommend career domains and integrates a real-time chatbot for anonymous career queries and emotional support. The platform ensures privacy, promotes awareness, and empowers students to make informed career choices aligned with their aspirations.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-08
DOI
https://doi.org/10.22214/ijraset.2025.70380
Primary Topic
Global Socioeconomic and Political Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Making Career Choices and AI Based Counselling Accessible to Every Child at Secondary Level Along with Aptitude Tests and Detailed Career Paths

Nishad Babu Sulikeri
International Journal for Research in Applied Science and Engineering Technology
Global Socioeconomic and Political Dynamics
article

Making Career Choices and AI Based Counselling Accessible to Every Child at Secondary Level Along with Aptitude Tests and Detailed Career Paths

Nishad Babu Sulikeri
article en

Abstract

Career decision-making is a critical phase in a student’s life, often influenced by societal pressure, lack of guidance, and limited access to personalized counseling. This paper presents an AI-based Career Recommendation System designed to assist secondary and higher secondary students in identifying suitable academic streams and career paths based on their interests, goals, and personality traits. The system uses a machine learning-based classifier trained on student response data to recommend career domains and integrates a real-time chatbot for anonymous career queries and emotional support. The platform ensures privacy, promotes awareness, and empowers students to make informed career choices aligned with their aspirations.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 86%
Global Socioeconomic and Political Dynamics
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