Inspiroscope: AI Driven Career Path Optimization Using Machine Learning Algorithms and Data Analytics for Personalized Professional Development

C. Sowmiya Sree, K. Harshitha Chowdary, Ramanan V., E. Praveen Kumar

2025

Abstract

Choosing the right career path can be challenging due to evolving industry trends and vast opportunities. This project introduces an AI-driven system that utilizes machine learning and data analytics to provide personalized career recommendations. By analyzing user preferences, industry demands, and job market trends, the system suggests relevant courses, job roles, and internships. Machine learning algorithms classify roles, while data analytics offers insights for informed decision-making. This solution bridges the gap between aspirations and industry needs, ensuring users receive tailored career guidance for effective professional growth. This AI-driven approach bridges the gap between professional aspirations and industry requirements, ensuring that users receive tailored career guidance aligned with current market needs. By integrating predictive analytics, automated recommendations, and industry trend analysis, the system enhances career planning efficiency, equipping individuals with the necessary tools for long-term professional growth and success.

Paper Citation

in Harvard Style

Sree C., Chowdary K., V. R. and Kumar E. (2025). Inspiroscope: AI Driven Career Path Optimization Using Machine Learning Algorithms and Data Analytics for Personalized Professional Development. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 5-12. DOI: 10.5220/0013907100004919

in Bibtex Style

@conference{icrdicct`2525,
author={C. Sree and K. Chowdary and Ramanan V. and E. Kumar},
title={Inspiroscope: AI Driven Career Path Optimization Using Machine Learning Algorithms and Data Analytics for Personalized Professional Development},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013907100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Inspiroscope: AI Driven Career Path Optimization Using Machine Learning Algorithms and Data Analytics for Personalized Professional Development
SN - 978-989-758-777-1
AU - Sree C.
AU - Chowdary K.
AU - V. R.
AU - Kumar E.
PY - 2025
SP - 5
EP - 12
DO - 10.5220/0013907100004919
PB - SciTePress