Careen Lens
Author : Gudimella Akhilesh, Peruri Karthik Sai, Kunburu Manikanta Reddy, Dr. Atul Kumar Ramotra Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 174Career decision-making among engineering students is often influenced by trends rather than a proper evaluation of individual skill sets, leading to skill–career mismatch. This project presents CareerLens, an explainable skill-based career recommendation system designed to guide students in selecting suitable academic streams and job roles. The system analyzes user-provided technical skills along with proficiency levels, maps them to predefined career requirements, and computes readiness scores to generate personalized recommendations. Additionally, it identifies skill gaps and suggests improvements to enhance career readiness. By emphasizing transparency, interpretability, and skill-driven guidance, CareerLens aims to bridge the gap between student capabilities and evolving industry demands.
Related Indexing Platform
Indexed Journal Website
Zenodo
Research Data Repository
OpenAIRE
European Open Science Infrastructure
DOI
https://doi.org/10.5281/zenodo.19550142
DOI Resolver
Global Persistent Identifier
OAI
https://abcdindex.com/Q745YUJGHTHWE77/ajax/paper_indexing_from_deng.php?verb=GetRecord&identifier=oai%3Aabcdindex.com%3Aarticle%3A63880&metadataPrefix=oai_dc
ABCDIndex OAI-PMH
Dublin Core metadata (harvesters)
GS
Search on Google Scholar
Google Scholar
Search this title on Scholar
SS
Search on Semantic Scholar
Semantic Scholar
Search this title
Lens
Search on Lens.org
Lens.org
Check citations via DOI