• Ms. S.Yamini
• Mrs.K. Jayasri

Email spam has grown significantly in recent years along with the rapid expansion of internet users. They are being used for fraud, phishing, and other unethical and criminal activities. sending harmful links through unsolicited email, 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 phony profiles and email accounts. In their spam emails, they pose as a real person. Therefore, it is necessary to identify spam emails that contain fraud. This project will do so by utilizing machine learning techniques. This article will cover machine learning algorithms and apply all of them to our data.For the purpose of detecting email spam, the optimal algorithm is chosen, one with the highest precision and accuracy.

Pneumonia, Chest X-ray images. Deep Learning, CNN, CovXNet, RNN, VGG16

"Detecting Spam Emails Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g563-g567, July-2023, Available :http://www.jetir.org/papers/JETIR2307679.pdf

"Detecting Spam Emails Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg563-g567, July-2023, Available at : http://www.jetir.org/papers/JETIR2307679.pdf