Spam Sentinel: Empowering Your Inbox with Intelligent Classification
Chandradeep Bhatt, Palak Jain, Teekam Singh · 2024
Ina time when digital communication is omnipresent, the rise in unsolicited and undesired messages has become a major barrier to a smooth user experience. Spam mails are distinguished by their bothersome and unimportant character, have spread like wildfire throughout numerous digital platforms for communication. Understanding the detrimental effects of spam on users the goal of the “Message Spam Classifier” project is to establish security and satisfaction. A strong and effective method for automatically classifying input messages as either non-spam or spam. By utilizing the potent combination of the project intends to employ machine learning and natural language processing (NLP) to improve the standard of digital communication by recognizing and eliminating unwanted communication. Examining filtering methods, especially those used in email, is very important to understand how filtering methods work and identify potential problems. Some technologies, such as the use of machine learning, have great potential to reduce the difficulty of email phishing. However, no strategy has proven to be particularly effective.