This document proposes a real-time chat sentiment analysis system for customer care. The system would detect customer sentiments during live chat conversations to allow agents to address issues and improve customer satisfaction. It uses natural language processing and machine learning techniques to analyze conversations and provide alerts and grading to help agents enhance performance over time. The main components include customer and agent portals, a mobile app, modules for registration, chat, and analytics tools.