EmailEye: An Email Alert System Using a WebApp
Year: 2025
Type: article
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.
DOI: 10.55041/ijsrem42755
Authors: Rashida C k, Reshma S, S Amritha, Shreya D Nair, ,Silja Varghese
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408768230