International Journal of Scientific Research and Engineering Development

To assist people retain good behavioural patterns and lower their risk of relapse, addiction rehabilitation necessitates ongoing observation, emotional support, and direction. Outside of hospital settings, traditional rehabilitation methods frequently lack individualised support and real-time monitoring. This study proposes the development of an AI-based addiction recovery support system that employs AI techniques to assist users in managing the recovery process in order to overcome the aforementioned limitation. This system will be composed of several intelligent system components, including activity recommendation systems, emotion-aware chatbots, and sleep quality evaluation systems. This will help users input their information through the system's user-friendly interface about their activities, sleep quality, and mental state. It will then analyse the data and provide insightful information to assist users in the recovery process. While the sleep analysis module assesses sleep patterns and presents findings to assist users in improving the quality of their sleep, the chatbot offers conversational assistance and inspirational responses. In order to encourage positive behavioural changes, the activity recommendation system also makes appropriate activity suggestions based on the user's mood and free time. In order to improve user interaction, the system incorporates natural language processing techniques and is constructed utilising a web-based architecture with FastAPI backend services. The outcomes show that the system can successfully offer behavioural insights, emotional support, and tailored guidance to aid in addiction treatment. All things considered, the suggested remedy demonstrates the potential of artificial intelligence to offer ongoing digital assistance to those undertaking rehabilitation and enhancing their general wellbeing.

Kurapati Tejashwini, B.Soujanya, Dikshitha Modi, Neethipudi Shreya,"Rehab 360:Your Intelligent Companion In Addiction Recovery" International Journal of Scientific Research and Engineering Development, V9(2): Page(1460-1465) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.