P-mail

Abstract

Now a days people have busy routine having difficulties doing different tasks at once. sometimes they forget to do some of the tasks because they are unable to remember them. Likewise in the case of emails; where you get hundreds of emails daily, and you ought to reply but due to the huge number of emails, you will forget to reply to some of the Emails. That’s why I am making a system that helps users in responding to their Emails. Our proposed system is a Smart Email Reply system that provides ease for the users. People often do multiple tasks, sometimes they forget to reply to the Mail, it is difficult to remember all the tasks which result in missing some of the tasks. Our proposed system helps people, automatically generate replies to their Emails. Our proposed system is an end-to-end method for automatically generating Email responses. The System with the help of a machine learning model automatically generates and selects the best response amongst all the responses. The three best responses are then selected and show to the user. The user, then, from the three suggested responses select the response that will automatically send to the sender. In this way, it will save most of the user’s time. The system is designed to work at very high throughput because it must handle millions of emails daily. I will use different Machine Learning and Deep Learning models to achieve this task (the model learns from the user data (Emails)), and after that, it starts generating responses. The user’s will selects the response of their choice and sends it to the user with just one tap. Our main target is the audience of Pakistan so I will generate responses in English or English + Urdu language. The generated response is not a word but a complete meaningful sentence. The Tools required to develop this System are Python Code, Machine Learning, Deep Learning Models, Jupyter notebook, Spyder. The methodology I am using for the development is Scrum Model