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Skillmatch.ai: applying a skills first framework to matching algorithms – building an ecosystem of skills first applications
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 6.29 MB | Adobe PDF |
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Resumo(s)
In this section we outline the development of Skillmatch.ai. A web application that
operationalizes the skills-first approach in the labour market. It integrates functionalities
such as résumé screening, tailored interview questions, bespoke apology letters, and
role similarity analysis, offering a comprehensive solution for skills-based hiring and
career development. Built with a scalable architecture, the application addresses
recruitment inefficiencies and skill gaps. Although limitations such as scalability
constraints, reliance on external APIs, and the need for real-world data remain, future
iterations aim to refine infrastructure, enhance usability, and expand applicability,
advancing the adoption of skills-first practices across industries.
Descrição
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Artificial Intelligence (AI) Machine (ML) Natural Language Processing (NLP) Data Science Large Language Models Generative AI (Gen AI) OpenAI API Embedding models Bi-Encoder Cross-Encoder Semantic similarity Recruiting and talent management Career development Role transitioning Skills mapping Skill overlap Occupational role recommendations Variance in occupational similarity Soft skills Hard skills Similarity metrics Network analysis Model performance evaluation Proof of concept Binary classification Synthetic data generation