AI Based Automated Email Spam Classification for Fast Growing Company

Abstract: The project "AI Based Automated Email Spam Classification for Fast Growing Company" has been developed using JAVA as front end and MySQL server as backend. The project helps to identify the spam message (unwanted message) automatically in user mail after successful of spam detection message will block automatically based on user customized spam keyword. Spam detection is becoming a big challenge for network resources and users because of some negative effects. Spam causes annoyance and wastes user's time to regularly check and delete this large number of unwanted messages. Main aim of proposed application develop identify the spam message (unwanted message) automatically in user mail after successful of spam detection message will block automatically. Initially mail user need to register with the application by submitting their details. After that user login this application using their username and password. After successful of login user can able to upload no of spam keyword based on their interest level. User can do the mailing process all the mail Store in data server. Before receiver receive the mail, this proposed application check weather mail is normal mail or spam for particular receiver. Spam checking process initially compose mail string is divided into one unit or token. And this token is matching with user spam keyword database using keyword matching technique. Finally based on keyword spam message identify Automatically and filtering the emails by reading one-by-one.

Keywords: Artificial neural network, Email matching network, keyword detection, spam detection