AI-Powered Early Intervention Tool for Drug Prevention
An open-source, AI-powered tool that analyzes user behavior and text to detect early signs of depression, providing privacy-focused, actionable interventions and resources.
Mental health is a pervasive issue that often starts with early warning signs, such as changes in behavior, language, or emotional state. To address this, we propose an AI-powered early intervention tool designed to identify these signs and provide timely support. This open-source tool leverages natural language processing (NLP) to analyze user inputs, such as journal entries or social media posts, for indicators of distress or risky behavior. By generating risk assessments and offering personalized resource recommendations, the tool aims to intervene before substance abuse becomes a severe problem.