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Implementation of a machine learning model to predict whether a message is spam or not. Furthermore, you will create a system that upon receipt of an email message will automatically flag it as spam or not, based on the prediction obtained from the machine learning model

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Spam-email-Detection

Implementation of a machine learning model to predict whether a message is spam or not. Furthermore, you will create a system that upon receipt of an email message will automatically flag it as spam or not, based on the prediction obtained from the machine learning model

AWS Services Used

  1. Sagemaker to build and train and spam filter ML model
  2. AWS s3 bucket to store emails which can be further analysed for spam detection
  3. SES to set up an email address that upon receipt of an email will save it in s3
  4. CloudFormation for representing the infrastructure resources and permissions

Architecture Diagram

Screen Shot 2022-05-05 at 11 01 01 PM

Output

Screen Shot 2022-05-05 at 11 50 57 PM

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Implementation of a machine learning model to predict whether a message is spam or not. Furthermore, you will create a system that upon receipt of an email message will automatically flag it as spam or not, based on the prediction obtained from the machine learning model

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