Abstract
Abstract: WhatsApp, a globally used communication tool in today's society, is transforming into an application where individuals express their thoughts, feelings, and opinions. A significant portion of this communication occurs within the app's group conversations. To facilitate the analysis of WhatsApp conversations, a web application called the WhatsApp Conversation Analyzer has been developed. This application leverages various Python libraries, including matplotlib, re, seaborn, streamlit, pandas, as well as foundational knowledge of NLTK (Natural Language Toolkit) for a comprehensive understanding. By importing a chat file of whatsapp from a group or single user, this hybrid system combines NLP (Natural Language Processing), NLTK, and machine learning techniques to perform a detailed analysis and provide valuable insights
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