Today, email spam has grown to be a significant issue due to the rapid expansion of internet users. They are being used for fraud, phishing, and other unethical and criminal activities. sending harmful links through spam emails, which can damage our system and try to access your system. The spammers target those people who are unaware of these frauds and target them by easily creating phoney profiles and email accounts. In their spam emails, they pose as a real person. Therefore, it is necessary to identify spam emails that are fraudulent. This project will identify those spams using machine learning techniques. This project will describe machine learning algorithms and apply all of these algorithms on our data sets. The best algorithm is then picked for the email spam detection that has the best precision and accuracy.
final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science.
Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment
3.classes will held accordingly.