Opportunity Lens: An Alternative end-to-end Deep Learning Framework for Automated Skill Assessment and Learning Optimization

The Opportunity Lens is an AI-powered career assessment system designed to generate personalized, skill-based multiple-choice questions (MCQs). Our solution combines a fine-tuned T5 transformer model for question and answer generation with the Gemini API to produce contextually relevant distractors. Users begin by selecting or entering a skill, after which the system retrieves related information, formulates MCQs, and evaluates responses to identify strengths and weaknesses. Based on the user’s performance, the system maps their skill profile to a curated knowledge base and recommends tailored career paths and learning resources. This approach supports adaptive testing and targeted learning, aiming to streamline professional development and reduce bias in traditional assessments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-13
DOI
https://doi.org/10.5281/zenodo.17337729
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
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article

Opportunity Lens: An Alternative end-to-end Deep Learning Framework for Automated Skill Assessment and Learning Optimization

Zenodo (CERN European Organization for Nuclear Research)
Image Processing and 3D Reconstruction
article

Opportunity Lens: An Alternative end-to-end Deep Learning Framework for Automated Skill Assessment and Learning Optimization

article en

Abstract

The Opportunity Lens is an AI-powered career assessment system designed to generate personalized, skill-based multiple-choice questions (MCQs). Our solution combines a fine-tuned T5 transformer model for question and answer generation with the Gemini API to produce contextually relevant distractors. Users begin by selecting or entering a skill, after which the system retrieves related information, formulates MCQs, and evaluates responses to identify strengths and weaknesses. Based on the user’s performance, the system maps their skill profile to a curated knowledge base and recommends tailored career paths and learning resources. This approach supports adaptive testing and targeted learning, aiming to streamline professional development and reduce bias in traditional assessments.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 44%
Image Processing and 3D Reconstruction
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