Imagine a smart matchmaking app, but for careers and training. It looks at huge piles of job data to figure out exactly which skills are missing in the workforce. Then, it uses AI to tell workers exactly which courses they need to take to land a modern digital or green job.
Companies struggle to find employees with the right skills for digital and green jobs, while workers don't know which training will actually make them employable.
A web-based tool and AI-driven profiling methods to match worker skills with market demand.
If you are a recruitment software provider dealing with inaccurate candidate matching — this project developed AI methods that enable real-time skill profiling. This allows your platform to match workers to training and jobs based on actual market gaps.
If you are an online learning platform dealing with low course enrollment due to irrelevant content — this project developed a web-based tool that identifies transferable skills. You can use these insights to create training programs that match the actual needs of European labour markets.
If you are a renewable energy installation firm dealing with a shortage of qualified technicians — this project developed new indices for skill gaps. This helps you identify exactly which transferable skills your current staff has and what specific training is missing for the green transition.
Based on available project data, there is no pricing information provided as the project is EU-funded research.
The project includes large-scale piloting and the development of a web-based tool, suggesting it is designed for broad application across European labour markets.
Based on available project data, the specific IP and licensing terms are not listed; it is managed by a consortium of 8 partners.
The project focuses on creating a web-based tool and using AI for real-time profiling, which typically allows for digital integration with other data sources.
The project is scheduled to run from 2024-01-01 to 2026-12-31.
The consortium is research-heavy with 4 universities and 1 research organization, but maintains a 25% industry ratio with 2 industrial partners (both SMEs). This balance suggests the project is grounded in academic rigor while having a direct line to small-scale commercial application across 5 European countries.
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