In this project we aim to develop a regression model that uses sleep-related, lifestyle, and physiological information to predict an individual’s self-reported stress level. Research shows that 30–40% ...

Large language models (LLMs) have shown great promise in automating data science workflows, but existing models still struggle with multi-step reasoning and tool use, which limits their effectiveness ...

A full-stack text analysis application with Keycloak authentication, implementing word tokenization, sentence boundary detection, and longest word extraction algorithms with Redis caching for ...