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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
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| Paper Title: | Affectoo: An AI-Powered Emotion-Adaptive Mental Wellness Game |
| Authors Name: | Kanishk K S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_209921
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| Published Paper Id: | IJRTI2603113 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | In the domain of AI and Mobile Application Development, emotional self-regulation remains a significant challenge in contemporary digital lifestyles. Affectoo (AI Powered Mental Health Game) is a cross-platform mobile application designed to assist users in identifying, tracking, and managing their emotional states through a multimodal, AI-driven framework. The system integrates on-device machine learning for facial expression recognition using a fine-tuned FER+ model deployed via TensorFlow Lite, combined with natural language processing techniques for sentiment and emotion analysis of user journal entries. By performing multimodal fusion of visual and textual inputs, the application estimates the user's primary emotional state with improved contextual accuracy. Based on the detected emotion, Affectoo dynamically recommends adaptive micro-interventions in the form of interactive 3D modules and gamified activities. These include guided breathing exercises, rhythm-based cognitive tasks, and emotion-responsive interaction mechanics designed to promote emotional awareness and gradual mood stabilization. A 3D avatar system visually represents emotional progression, enhancing user engagement through gamification principles. The application is developed using the Flutter framework and employs a local SQLite database to ensure secure, offline-first mood tracking. By integrating edge AI, multimodal emotion recognition, and adaptive game-based interaction within a mobile ecosystem, this project demonstrates a scalable and privacy-conscious approach to supporting everyday emotional self-regulation without functioning as a clinical diagnostic tool. |
| Keywords: | Affective Computing, On-Device AI, Flutter, 3D Visual Entrainment, Mental Health Technology, TensorFlow Lite. |
| Cite Article: | "Affectoo: An AI-Powered Emotion-Adaptive Mental Wellness Game", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b76-b85, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603113.pdf |
| Downloads: | 00089 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603113
Registration ID:209921
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b76-b85 Country: Chennai, Tamil Nady, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603113 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603113 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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