Published on: April 2026
AI BASED CAREER RECOMMENDATION SYSTEM
D Arshitha S Sukruthi A Bhanu Prakash K Eshwar Prasad
T Swathi
Department of CSE (Data Science) ACE Engineering College
Hyderabad Telangana India
Article Status
Available Documents
Abstract
The proposed system reduces dependency on manual counseling, minimizes bias, and provides accurate and data-driven career guidance. By leveraging artificial intelligence, the system helps students make informed decisions about their future careers and understand the skills required to achieve their goals. This project demonstrates the effective use of AI and ML in real world decision-support systems.
How to Cite this Paper
Arshitha, D., Sukruthi, S., Prakash, A. B. & Prasad, K. E. (2026). AI Based Career Recommendation System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.262
Arshitha, D, et al.. "AI Based Career Recommendation System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.262.
Arshitha, D,S Sukruthi,A Prakash, and K Prasad. "AI Based Career Recommendation System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.262.
Search & Index
References
- Sundara Vignesh et al. (2025). AI-based Career Path Recommendation System. Technologies: Random Forest, Neural Networks, Flask/Streamlit.
- A. Pinos Ullauri et al. (2025). AI-Based Postgraduate Course Recommendation System. Technologies: Psychometric Analysis, Machine Learning Classification..
- Mahendra V. Thakare & Pornima S. Veer (2025). AI in College Placement and Career Recommendation. Technologies: Machine Learning, NLP Models.
- Raja Kishore Babu et al. (2025). Personalized Job Search with AI Recommendation System. Technologies: NLP, Large Language Models (LLMs), Skill Matching Algorithms.
Vaishnavi Nayak & Neha Vora (2024). Machine Learning-Based Career Recommendation System. Technologies: Random Forest, SVM, K-NN - Sakir Hossain Faruque et al. (2024). NLP-Driven Career Prediction System. Technologies: Natural Language Processing, Deep Learning.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 12 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.