A WhatsApp bot with sentiment analysis using Python and Twilio is created. The bot uses a trained corpus file in JSON format, which defines a custom-built rule-based chatbot. It also utilizes TextBlob for sentiment analysis capabilities. The project consists of six files: five Python scripts and one JSON file. The files are used to create a simplebot module that takes user input, performs sentiment analysis, and triggers an escalation response if the emotional index increases above a threshold. The bot is integrated with Flask and ngrok to test and deploy it on Twilio's WhatsApp Sandbox.