Smart Email Summarizer: Enhancing Productivity in Digital Communication

Academic institutions rely heavily on email for formal communication, but the growing volume of messages often leads to information overload and missed updates. This paper presents an Email Summarizer that uses Natural Language Processing (NLP) to generate concise summaries of academic emails by extracting key details such as deadlines, dates, and action items. By reducing reading time and highlighting critical information, the system enhances academic productivity and improves communication efficiency. The solution is implemented using Python and NLP libraries and can be integrated with institutional email and learning management systems.