EmailEye: An Email Alert System Using a WebApp

EmailEye: An Email Alert System Using a WebApp

Rashida C K1, Reshma S2, S Amritha3,Shreya D Nair4,Silja Varghese5

Student1,Student2,Student3,student4,Assistant Professor5 of

Computer Science Engineering Department,

Nehru College Of Engineering and Research Centre(NCERC),Thrissur,India

  ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - An automatic playback bot that can identify dangerous URLs is integrated into the suggested web-based email alert and monitoring system. Users will be informed of important occurrences or conditions thanks to this system's real-time monitoring and alerting features. In order to identify anomalous data, provide highly personalized and educational alerts, and make recommendations for further actions, the system makes use of artificial intelligence technologies. To lessen alert overload and make sure users pay attention to pertinent messages, the system also uses reinforcement learning to modify users' responses to prior alerts. The automatic replaying bot can react appropriately to a variety of situations because it is trained to obey precise instructions. Additionally, a dangerous link detection tool built into the system finds and flags dubious links, averting certain security risks. The overall goal of this system is to improve user experience and optimize workflows.

Key Words:  Email, Artificial Intelligence, Reply, Suspicious link, Machine learning.