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@article{194398,
        author = {Pranjali Chandrakant Raipure and Arya Patil and Khushi Hedau and Vaishali Parteti and Rutuja Nandne},
        title = {MindEase: A Decoupled, High-Performance Web Application for Cognitive Regulation and Mental Wellness},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5350-5352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194398},
        abstract = {In an era of constant digital distractions, knowledge workers, students, and individuals managing ADHD or anxiety often rely on multiple fragmented tools for focus, relaxation, and emotional support. Frequent context switching and separate logins create significant friction, reducing adherence to beneficial practices. MindEase addresses this by providing a unified, aesthetically soothing web platform that integrates ambient sound mixing, breathing-aligned Pomodoro timers, mood tracking, playful cognitive games, curated resources, and an AI companion (Sensei) powered by fast Groq inference. The application emphasizes performance and gentleness: vanilla JavaScript frontend with Tailwind CSS, Node.js/Express backend, MongoDB storage, and JWT/Google authentication. This design achieves sub-second loads, minimal battery impact, and a calming user experience that supports nervous system regulation rather than adding cognitive load. This paper details the architectural choices, implementation details, feature mechanics, and rationale behind building a lightweight yet feature-rich mental wellness tool.},
        keywords = {Mental wellness, cognitive regulation, web application architecture, AI companion, ambient sound mixing, Pomodoro timer, vanilla JavaScript, Groq API, Node.js, MongoDB.},
        month = {March},
        }