Improving mental health condition through mindwave
Publication details: Ghaziabad MAT Journals 2024Edition: Vol.1(2), May-AugDescription: 32-38pSubject(s): Online resources: In: Journal of data engineering and knowledge discoverySummary: In today's world, depression is a widespread issue exacerbated by the digital disconnect. The "Supporting Mental Health with Technology" project aims to change this narrative. The initiative leverages technology to address the shortcomings of existing mental health solutions by creating a comprehensive platform designed to empower its users. Key features of this platform include mood tracking, emotion recognition, and community engagement tools, all aimed at providing a holistic approach to mental health support. The ultimate goal is to create a space where individuals can regain control over their emotional well-being. The platform uses machine learning to provide empathetic support and ensures a secure, user-centric design. The vision is to revolutionize mental health support by fostering genuine connections and facilitating positive change in the digital era. Through these innovative solutions, the project seeks to bridge the gap between technology and human well-being, offering a more accessible and effective means of managing depression.| Item type | Current library | Status | Barcode | |
|---|---|---|---|---|
|  Articles Abstract Database | School of Engineering & Technology Archieval Section | Not for loan | 2025-0325 | 
In today's world, depression is a widespread issue exacerbated by the digital disconnect. The "Supporting Mental Health with Technology" project aims to change this narrative. The initiative leverages technology to address the shortcomings of existing mental health solutions by creating a comprehensive platform designed to empower its users. Key features of this platform include mood tracking, emotion recognition, and community engagement tools, all aimed at providing a holistic approach to mental health support. The ultimate goal is to create a space where individuals can regain control over their emotional well-being. The platform uses machine learning to provide empathetic support and ensures a secure, user-centric design. The vision is to revolutionize mental health support by fostering genuine connections and facilitating positive change in the digital era. Through these innovative solutions, the project seeks to bridge the gap between technology and human well-being, offering a more accessible and effective means of managing depression.
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