Abstract
E-motiCarez is an AI-powered mental health platform design to provide personalised, accessible and stigma-free emotional support. By integrating Natural Language Processing (NLP), Machine Learning (ML), and sentiment analysis, it helps users manage stress, anxiety, and emotional well-being through intelligent conversations, real-time emotion tracking, and self-care recommendations. Unlike traditional therapy, which can be costly and time-consuming, E-motiCarez offers an affordable and ondemand solution for those in need of emotional support. The platform is tailored for teenagers and young adults who often struggle with academic pressure, career stress, and personal challenges. Through AI-driven insights, users can receive empathetic conversations, guided meditation, breathing exercises, and journaling tools, helping them develop healthier coping mechanisms. Additionally, predictive analytics enables E-motiCarez to detects early signs of emotional distress and suggest proactive interventions, making mental health support more preventive rather than reactive. With the global mental health app market growing at a project 15% CAGR, the demand for AI-driven mental wellness solutions is increasing. Unlike competitors such as Calm, Better Help, and WoeBot, E-motiCarez stands out with real-time emotion tracking, integration with wearable devices, and a more affordable subscription model. It also offers corporate wellness programs, allowing businesses to support employee wellbeing, reduce stress, and boost productivity.
Metadata
Item Type: | Entrepreneurship Project |
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Creators: | Creators Email / ID Num. Zaharuddin, Nur Shafawani Izzati UNSPECIFIED Rosli, Nurul Ilyahayani UNSPECIFIED Mat Isa, Siti Maisarah UNSPECIFIED Abdul Sham, Nur Syafiqah UNSPECIFIED Nazri, Nurul Shahera UNSPECIFIED Ishak, Nurul Insyirah Izzati UNSPECIFIED |
Subjects: | H Social Sciences > HF Commerce > Business education |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Kuala Pilah Campus |
Keywords: | ENT600, E-motiCarez, Natural Language Processing, NLP |
Date: | 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/115453 |
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