Authors: Ajinkya Pratap Singh, Akshat Singh Rajput, Anish Gulhane, Ayush Agrawal, Prof. Neha Soni
Abstract: Spam messages can be an annoying, whether they appear in emails, social media, or messaging apps. Some can even be harmful, containing scams, phishing attempts, or malware. Traditional spam detection methods rely on simple rules, like blocking messages with specific words or flagging emails from unknown senders. However, spammers have become smarter, constantly changing their tactics to bypass these filters. This is where artificial intelligence (AI) comes in action. An AI-assisted spam detection tool uses machine learning and natural language processing (NLP) to understand the patterns and behaviours of spam messages. Instead of relying only on fixed rules, the AI can analyse the content, sender behaviour, and other factors to determine whether a message is spam or not which helps to understand the tool and work more effortlessly. By combining AI with traditional spam detection techniques, this tool provides a smarter and more effective way to filter out unwanted messages while ensuring important communications are not blocked. The result is a more efficient and expresses digital experience for users.All these including of tools and AI definitely and surely keep everything in check of spam messages, eventually gives more desirable outcome.
