Mental Health Well-Being Assessment and Surveillance Mobile App
The proposed software, for monitoring children's health and well-being is a platform that aims to evaluate and support their emotional state using various features and tools. Firstly our software will collect the data from users through assessment and private journals. Our software includes games and activities that captivate children while discreetly gathering data about their well-being. These games serve as an assessment tool. After the assessment there will be Analysis of the data collected with the help of games by utilizing machine learning techniques like sentiment analysis and tracking response times the software examines the collected data from the games to identify signs of depression in children. It provides a score or range indicating their health condition. According to the range there will be tailored recommendations and solutions based on the analysis of the data then our software offers solutions to enhance children's well-being. These suggestions may involve self-help exercises, relaxation techniques or other helpful resources. According to the seriousness the therapist helps the child for their well-being. Accordingly the therapist can see the progress of the mental health of the child through Dashboard. Our software includes separate login portals for parents and therapists. Parents can monitor their child's progress, view assessment results, and access resources to support their child's mental health. Therapists can access relevant data, communicate with their young clients, and provide professional guidance. Our software also includes a journal feature where children can document their thoughts and feelings, which they may not be comfortable sharing with parents or friends. This journal can be a valuable tool for both assessment and emotional expression.
Authors
- Rajendra Ganpatrao Deshmukh
- P.S. Deshmukh
- Atiya Khan (ORCID: https://orcid.org/0000-0002-9845-5921)
- Roshan Kanojiya
- Prajwal Jivtode
Institutions
- Raisoni Group of Institutions (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957381
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00