Emotica AI: An AI-Powered Platform That Understands Human Emotions and Provides Personalized Support for Mental Well-Being

Abstract

Mental health challenges have emerged as a critical global concern, with increasing demand for accessible, personalized, and stigma-free support systems. While traditional digital mental health platforms offer valuable resources, they often lack integrated emotional understanding, multi-modal interaction, and comprehensive well-being tracking. This paper presents Emotica AI, an intelligent web-based platform that combines advanced emotion recognition, conversational AI, and holistic wellness tools to provide personalized mental health support. At the core of Emotica AI is a novel emotion classification engine built on an Improved Long Short-Term Memory architecture incorporating pre-trained GloVe embeddings and a self-attention mechanism. The model achieves 92.81% accuracy in classifying text into six emotional states: anger, fear, joy, love, sadness, and surprise. The platform integrates this emotion detection capability with mental health assessments, an empathetic AI chatbot, and a suite of well-being mini-applications including mood tracking, journaling, and guided meditation. Additionally, Emotica AI features a community forum for peer support and tracks users' emotional patterns over time to generate personalized wellness reports. By bridging the gap between accurate emotion recognition and holistic mental health support, Emotica AI offers a comprehensive, user-centric approach to digital mental well-being.