EmoticCare -An AI Chatbot for Real-Time Emotional Support Combining NLP and emotional intelligence to assist users in managing stress, anxiety, and depression

DOI

https://www.doi.org/10.59256/indjcst.20250403027

Published In

Volume 4, Issue 3 (2025)

Published Online

September-December 2025

Pages

167-170

Article Type

Review Article

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Mental health challenges such as depression, anxiety, and stress are increasing at an alarming rate due to the pressures of modern lifestyle, work-related stress, social isolation, and digital overload. Despite the growing awareness of mental well-being, many individuals still refrain from seeking professional psychological support because of social stigma, high costs, or lack of accessibility to certified therapists, particularly in rural or underdeveloped regions. This gap highlights the urgent need for accessible, affordable, and stigma-free mental health assistance tools that can provide immediate emotional support and preliminary assessment. This project presents EmoticCare, an intelligent and empathetic chatbot system built using Natural Language Processing (NLP) techniques. EmoticCare is capable of analysing user inputs to detect emotional tone, mood patterns, and linguistic cues indicative of mental distress. By leveraging a fine-tuned transformer model, the chatbot generates human-like, context-aware, and emotionally sensitive responses to simulate real conversations with compassion and understanding. The system prioritizes privacy, safety, and confidentiality, ensuring that users feel comfortable sharing their emotions without fear of judgment. Furthermore, when severe emotional distress or potential mental health risks are detected, EmoticCare provides relevant mental health resources and connects users with professional helplines or counselling services. Through this approach, the system aims to complement traditional therapy by promoting early emotional intervention, fostering mental resilience, and bridging the gap between individuals and mental health professionals