Automatic reminder generation plays an important role in reminding users of their important appointments automatically. It involves analysing the conversations to identify important phrases, dates, and times. Natural language processing (NLP) and machine learning (ML) are used to extract keywords and to create reminders automatically. One common challenge faced by elderly individuals is remembering to take medication at specific times. Our proposed solution aims to automate the generation of reminders from real-time conversations as they occur, and then set them as reminders. The process involves converting recorded conversations into text and summarizing the text using a specific keyword dataset. These summarized reminders are then added to the Google calendar. To achieve this, Speech-to-Text conversion and NLP techniques are employed for text summarization. By automatically generating reminders from con versations, users can save time and enhance productivity by reducing the need for manual entry of reminders.