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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Authors

Sudhir Yadav,Noone Tejasri,Kapavarapu Sri Rama Krishna Veni,Damaisngi Bhanu Teja,S.CHITTIBABULU

  Keywords

Maladaptive Daydreaming, Artificial Intelligence, Machine Learning, Deep Learning, Flutter, MERN, Natural Language Processing, Emotion Recognition, Therapeutic Chatbot, Digital Wellbeing, Personalized Therapy

  Abstract


Maladaptive daydreaming (MD) is a psychological phenomenon characterized by excessive, immersive, and often compulsive daydreaming that significantly interferes with an individual's daily functioning, productivity, emotional regulation, and social interactions. Individuals suffering from MD may spend hours engaged in vivid fantasy worlds, which can lead to difficulties in academic, occupational, and interpersonal domains. Traditional therapeutic interventions, such as cognitive behavioral therapy (CBT) and mindfulness-based strategies, often require substantial human involvement and lack scalability, real-time monitoring, and personalized adaptation to individual user behavior. This paper introduces Daydream Detox, an innovative AI-driven therapeutic platform designed to detect, predict, and manage maladaptive daydreaming using advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The system architecture integrates a Flutter-based mobile application for user interaction, a MERN (MongoDB, Express.js, React.js, Node.js) web dashboard for administrative and analytical oversight, a Python-based AI analytics module for emotion and behavior analysis, and a MongoDB database for secure data storage. Daydream Detox collects multidimensional user data, including activity patterns, text-based journals, mood logs, and user interaction metrics. This data is processed using NLP and ML algorithms to detect early signs of maladaptive daydreaming and generate predictive models of user behavior. The platform delivers personalized therapy plans, focus-enhancing routines, and context-aware recommendations tailored to individual needs. Furthermore, a real-time AI chatbot provides interactive interventions, motivational support, and reminders, thereby enhancing user engagement and adherence to therapy routines. Experimental evaluation involving multiple participants demonstrates that Daydream Detox significantly improves focus, reduces the frequency and duration of maladaptive daydreaming episodes, enhances emotional self-awareness, and promotes consistent adherence to personalized routines. The platform's AI-driven approach highlights the potential of digital therapeutics in providing scalable, adaptive, and real-time mental health support. This study emphasizes the importance of integrating AI, ML, and DL into digital wellbeing platforms and showcases how such technologies can address modern cognitive and emotional challenges effectively. Future work aims to expand the system with multimodal data inputs, such as speech and physiological signals, to further enhance predictive accuracy and therapeutic effectiveness.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2603271

  Paper ID - 302800

  Author type - Indian Author

  Page Number(s) - c250-c263

  Pubished in - Volume 14 | Issue 3 | March 2026

  DOI (Digital Object Identifier) -   

  No Of Downloads - 19

  Author Country - India, 533437, EAST GODAVARI, EAST GODAVARI, 533437, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2603271

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2603271

  Published Paper PDF Downlaod: - download.php?file=IJCRT2603271

  Cite this article

Sudhir Yadav,Noone Tejasri,Kapavarapu Sri Rama Krishna Veni,Damaisngi Bhanu Teja,S.CHITTIBABULU,   "Daydream Detox: AI-Driven Platform for Managing Maladaptive Daydreaming", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 3, pp.c250-c263, March 2026, Available at :http://www.ijcrt.org/papers/IJCRT2603271.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

IJCRT is Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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International Journal of Creative Research Thoughts (IJCRT)
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