An AI-Based Cognitive and Emotional Monitoring System

Abstract

The AI-based Cognitive and Emotional Monitoring System helps users monitor their emotional well-being by interacting with an AI chatbot. The system uses Natural Language Processing to analyse user messages and identify emotions such as stress, sadness, or happiness. It also tracks emotional patterns over time and displays them through a dashboard. When critical emotional expressions are detected, the system offers supportive suggestions to promote better mental health. The architecture ensures secure handling of user data and is designed to be lightweight and scalable for practical deployment. The implementation is based on a Flask backend, MySQL database, and pretrained language models for emotion classification. Experimental results demonstrate that the system effectively detects emotional states, maintains emotional history, and provides timely support. This approach provides an accessible, real-time, and intelligent solution for improving mental well-being among general users.