Relapse Drug Prevention for Sustainable Sobriety

Abstract

One of the most important aspects of addiction rehabilitation is preventing relapses, which calls for prompt intervention and ongoing monitoring.  The creation of an AI-powered app that monitors people in recovery from drug use disorders and aids in relapse prevention is the idea behind this project.  The technology uses facial expression analysis to identify early indicators of relapse and emotional distress.  Real-time alerts are given to family members and caregivers in the event of a suspected relapse to guarantee timely response.  To ensure ongoing participation, the application also has a daily login tracking mechanism that notifies caretakers if the patient doesn't check in each day.  The software incorporates an AI-powered chatbot to engage with patients and deliver reminders and motivational assistance in the form of flash messages in order to offer extra emotional support.In order to improve communication and provide more individualized care, the system also gathers and maintains patient medical records and caregiver contact details. This software offers a holistic strategy for maintaining sobriety, lowering relapse rates, and enhancing the general wellbeing of those in recovery by fusing AI-based facial recognition, behavioral analysis, real-time notifications, and an interactive chatbot.