APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)

October 2023
Vol-9, Issue-5
Paper ID: 21762
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering and Machine Learning
Keywords
Healthcare Underprivileged Inequality Infrastructure Insufficient health
Abstract
The app aims to address growing concerns about the mental wellbeing of these vulnerable populations by offering them early intervention and support.The app uses advanced technologies, including machine learning algorithms, to analyze various factors such as behavioral patterns, mood indicators and social interactions. By collecting and analyzing data from user input, the app can detect potential signs of mental health issues such as depression, anxiety and mood disorders.The screening process is user-friendly and can be conveniently accessed via smartphones or tablets. Users, including teens and their caregivers, can complete a series of customized assessments, questionnaires, and interactive activities specific to their age group and demographics. The app also includes gamification elements to engage users and enhance their experience.After the screening process is complete, the app generates personalized reports that highlight any potential mental health concerns. These messages can be shared with healthcare professionals, allowing for early intervention and treatment. In addition, the app provides access to a comprehensive database of mental health resources, including helplines, support groups and counseling services.Finally, the "Screening App for Mental Health Concerns in Adolescents and Individuals with Disabilities (PED)" provides a desperately needed tool for identifying and addressing mental health concerns in these at-risk populations. The app seeks to promote the well-being and quality of life of teenagers and people with disabilities by utilizing technology and offering accessible support.

Author Information

# Name Institute / Affiliation
1 AAKASH B Bannari Amman Intsitute Of Technology
2 ATHISH S R Bannari Amman Intsitute Of Technology
3 HARIVARSHA P V Bannari Amman Intsitute Of Technology
4 SADHASIVAM N Bannari Amman Intsitute Of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
B, AAKASH, R, ATHISH S, V, HARIVARSHA P, & N, SADHASIVAM (2023). APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS). International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1679-1697.
MLA Style
B, AAKASH, et al. "APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1679-1697.
IEEE Style
AAKASH B, ATHISH S R, HARIVARSHA P V, and SADHASIVAM N, "APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1679-1697, 2023.
Vancouver Style
B AAKASH, R ATHISH S, V HARIVARSHA P, N SADHASIVAM. APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS). International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1679-1697.
Harvard Style
B, AAKASH, R, ATHISH S, V, HARIVARSHA P, & N, SADHASIVAM (2023) 'APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1679-1697.
Chicago Style
B, AAKASH, et al. "APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1679-1697.
Turabian Style
B, AAKASH, et al. "APP TO SCREEN THE POSSIBLE MENTAL HEALTH ISSUES IN ADOLESCENTS AND PERSON WITH DISABILITIES(PEDS)." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1679-1697.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable