Plagiarism is checked by the leading plagiarism checker
Volume 4 Issue 3
May-June 2026
| Author(s) | Prof. Dr. Pankaj Singh Sisodiya, Anshika Pawar, Priyanka Malviya, Prachi Pawar, Divyanshu Patil |
|---|---|
| Country | India |
| Abstract | In the modern era, students and professionals often face difficulties in choosing the right career path due to a lack of proper guidance and awareness about the skills required in the job market. To address this issue, our project titled “AI Powered Personalized Career Guidance and Skill Recommendation System” has been developed. The main aim of this system is to provide data-driven and personalized career suggestions using Artificial Intelligence (AI) and Machine Learning (ML) technologies. The system collects user information such as academic details, interests, and skills, and then analyzes it using intelligent algorithms to predict the most suitable career options. It also recommends specific skills and online courses that can help users achieve their professional goals. By integrating AI with data analytics, the system provides accurate, relevant, and customized recommendations. This project acts as a virtual career counselor, helping users make informed decisions and bridge the gap between education and industry requirements. It enhances employability, promotes skill development, and represents a step forward toward intelligent and automated career guidance for the future. |
| Keywords | Artificial Intelligence, Machine Learning, Career Guidance, Skill Recommendation, Personalization, Data Analytics. |
| Discipline | Other |
| Published In | Volume 3, Issue 6, November-December 2025 |
| Published On | 2025-11-14 |

E-ISSN 2584-0487All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.