Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
The Companion App project sets out to address mental health concerns that are currently growing in the increased rate of remote work and isolation. This Flutter-based mobile application helps users monitor and enhance their mental well-being through customized action items and progress statistics. After answering a series of questions, which suggest probable action for managing their mental state, the app will be displaying progress on a dashboard for easy tracking. For data storage, it uses a Firebase cloud-native NoSQL database that is extremely performant, scalable, and also synchronized. It also foresees in the future the integration of machine learning models to bolster the app's potential and provide advanced support for mental health. This project combines app development, cloud services, and machine learning to develop an easy-to-use and highly effective platform for mental health management.
Keywords:
Mental Health Tracker, Companion App, machine learning, natural language processing, feature extraction, social media, interdisciplinary research.
Cite Article:
"A Brief Study on Mental Health Tracker", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c287-c292, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505230.pdf
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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