Challenge
A local government required a proof of concept to validate the feasibility of an AI-driven platform aimed at addressing employment disparities and enhancing workforce development. The project’s objectives included testing the scalability of AI models and measuring their impact on job seeker outcomes.Â
Approach
VE3 developed the POC over a six-week sprint, focusing on essential capabilities and future scalability:Â
- Built a recommendation engine using TensorFlow and Python to analyze user profiles and provide personalized career advice.
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- Employed predictive analytics to highlight emerging job trends and skill requirements. Â
- Created a chatbot powered by NLP to guide users through the platform and answer career-related questions.
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- Integrated a dynamic skill gap analysis tool, allowing users to see how their current qualifications aligned with their desired roles.Â
- Deployed the platform on Microsoft Azure for robust performance and scalability.
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- Implemented role-based access controls to secure sensitive user data.Â
- Collaborated with local businesses and training providers to ensure the platform’s functionalities met real-world needs.Â
Results
The POC demonstrated strong potential for broader implementation:Â
User Outcomes
85% of users found the platform intuitive and valuable, with many uncovering unexpected career opportunities.
Efficiency Gains
Reduced time to the identify suitable job and training opportunities by
33%.
Scalability
Feedback from stakeholders affirmed the design’s ability to scale regionally and nationally.