This research introduces a WhatsApp chat analyzer, an application hosted on the Heroku web platform. This tool is designed for analyzing chat activities within individual or group conversations. Its primary function is to compile frequently used words from either group discussions or private chats. By doing so, it offers insights into the nature of relationships between individuals or within a group. The analyzer contributes to a deeper understanding of conversational dynamics, providing users with valuable insights to enhance effective communication. The analytical methodologies employed in this study utilize Python libraries, including Matplotlib, Pandas, Streamlit, and Seaborn. Through the integration of these diverse libraries, the application offers a comprehensive approach to chat analysis, enabling users to glean meaningful information from their conversations. The deployment of the application on the Heroku web platform ensures accessibility and ease of use for individuals seeking to gain insights into their conversational patterns and relationships.