Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM56618
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mental health, academic pressure, financial stress, and lifestyle imbalance have become major challenges for today’s youth, often affecting their emotional well-being and overall productivity. This paper presents YouthMate, an AI-powered virtual assistant designed to support students and young adults through a holistic, multi-domain approach. Unlike traditional single-purpose mental health apps, YouthMate integrates AI-driven modules for mental health and motivation, study and career guidance, finance tracking, fitness and diet planning, digital wellbeing, and entertainment recommendation. Using machine learning and natural language processing, the system analyzes user behavior, mood, and lifestyle patterns to deliver personalized insights and interventions, YouthMate emphasizes transparency and personalization in prediction and recommendation, ensuring user trust and engagement. The proposed framework demonstrates a scalable solution for improving youth mental health, productivity, and decision-making through an intelligent, unified AI ecosystem..
KEYWORDS
Publication Date
2/16/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
14
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...