Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

Rehab360: A Comprehensive AI-Powered Addiction Recovery System Featuring Emotion-Aware Chat, Personalized Craving Forecasts, Nutrition Insights, and Crisis Detection for Holistic Support

Authors
Aditi Borkar1, Vibhor Pundhir1, *, Paras Tikoo1, D. Rajalakshmi1
1Data Science and Business Systems, SRM Institute of Science and Technology, Chennai, India
*Corresponding author. Email: pk2952@srmist.edu.in
Corresponding Author
Vibhor Pundhir
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_3How to use a DOI?
Keywords
Addiction Recovery; Machine Learning; Emotion Recognition; Relapse Prediction; Crisis Detection
Abstract

To achieve an addiction recovery process, continuous monitoring, early risk identification and presence of timely intervention are necessary to avoid relapse and aid in long-term rehabilitation outcomes. In this paper, the author describes Rehab360, a versatile AI-based platform to explore addiction recovery, including emotion-sensitive conversational analysis, craving magnitude prediction, relapse risk forecasting, nutrition and sleep tracking, motivational messaging, and anticipation of crisis in a single microservice platform. The system follows a three tier architecture, with a role-based React frontend, a Node.js/Express backend using MongoDB, and an independent, machine learning-based, machine learning gateway which orchestrates several independently deployable AI services. Microservices are each dedicated to individual predictive or analytical functions and interfaces on a centralized API layer in order to achieve scalable and low-latency inference. System-level validation via experimental validation provides real-time responsiveness and the ability to deploy in a cloud mode. Rehab360 is a scalable, intelligent, preventive, and predictive digital ecosystem aimed at addiction rehabilitation with the integration of predictive analytics and operational workflows and access control by multiple stakeholders.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_3How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Aditi Borkar
AU  - Vibhor Pundhir
AU  - Paras Tikoo
AU  - D. Rajalakshmi
PY  - 2026
DA  - 2026/06/16
TI  - Rehab360: A Comprehensive AI-Powered Addiction Recovery System Featuring Emotion-Aware Chat, Personalized Craving Forecasts, Nutrition Insights, and Crisis Detection for Holistic Support
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 12
EP  - 22
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_3
DO  - 10.2991/978-94-6239-693-7_3
ID  - Borkar2026
ER  -