Leveraging AI and PostgreSQL for an Inclusive Neurodivergent Career Platform

Abstract

Traditional digital career platforms frequently present significant accessibility barriers for neurodivergent individuals. Features such as complex user interfaces, dense textual information, and ambiguous instructions can induce cognitive overload and anxiety, inadvertently excluding a valuable talent pool. This paper introduces a novel platform designed to mitigate these challenges through an inclusive, user-centric approach. Our system leverages a gamified, adaptive learning environment featuring real-time guidance and mental wellness support to reduce barriers and enhance user confidence. The architecture employs a Supabase Table Algorithm (PostgreSQL) for efficient data management of user profiles and quiz content. Personalization is driven by an Edge Function integrated with the GPT-4 API, which dynamically generates adaptive quizzes and tailored learning resources based on individual skill sets and historical performance. To ensure integrity, a Text Match Algorithm within a Supabase Edge Function performs plagiarism detection by comparing user submissions against existing data. The result is a highly accessible system that improves engagement, provides equitable job matching, and empowers neurodivergent users to effectively showcase their abilities. This approach demonstrates a scalable model for fostering a more inclusive and supportive digital workspace.

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