International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
AI Based Career Recommendation System
| Author(s) | Mr. Anurag Mishra, Aakash Maurya, Akash Kushwaha, Deepti Aggrawal |
|---|---|
| Country | India |
| Abstract | Choosing the right career path is one of the most important decisions in a student’s life, yet many students face confusion due to limited guidance and lack of proper awareness about available opportunities. Traditional career counseling methods are often manual, time-consuming, and unable to provide personalized suggestions for every individual. This paper presents an AI Based Career Recommendation System that helps students identify suitable career options based on their skills, academic performance, interests, personality traits, and career preferences. The proposed system uses machine learning techniques to analyze user input and generate accurate career recommendations. Various algorithms such as Decision Tree, Random Forest, and K-Nearest Neighbors can be used to improve prediction quality and recommendation accuracy. The system aims to reduce uncertainty in career planning and support better decision-making for students and fresh graduates. It also helps institutions provide efficient counseling support. Experimental observations show that the system improves recommendation relevance and user satisfaction compared to traditional methods. Future improvements may include integration with job portals, resume analysis, and real-time industry trend monitoring. |
| Keywords | Artificial Intelligence, Career Recommendation, Machine Learning, Student Guidance, Personalized Recommendation, Career Prediction |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-30 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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