Henriques, Roberto André PereiraAlmeida, Ricardo da Costa2024-11-062024-11-062024-10-28http://hdl.handle.net/10362/174699Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe rapid advance of artificial intelligence (AI) and automation technologies has raised significant concerns about job displacement, particularly among Generation X professionals in Portugal. This project addresses these concerns by developing an interactive recommendation system named Career Xplorer, designed to help professionals navigate potential career transitions in a personalised way. Using advanced Natural Language Processing (NLP) models such as BERT and GPT-4 and a task-based approach that assesses automation risk for individual tasks rather than entire occupations, Career Xplorer estimates the automation probability for each user’s occupation. The recommendation system also suggests alternative occupations with lower automation risks and provides a detailed job transition guide outlining the essential skills and competences needed for these transitions. This guide helps users identify which skills to focus on and which to deprioritise, facilitating a more confident and smoother professional transition. The study finds that not only occupations with repetitive and low-skilled tasks face the greatest risks of automation but also more technical roles, mainly due to the presence of well-established rules. On the other hand, more communicative and creative occupations have lower levels, suggesting an area of greater security in a labour market impacted by AI and automation. By empowering Generation X professionals with the tools and knowledge to proactively manage their careers amidst the evolving technological landscape, Career Xplorer helps mitigate the impacts of job displacement and promotes longterm career stability and growth while taking employee happiness into account.engJob DisplacementJob Transition GuideAutomation RiskNatural Language ProcessingInteractive Recommendation SystemSDG 1 - No povertySDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 10 - Reduced inequalitiesSDG 17 - Partnerships for the goalsmaster thesis203776674