Cloud Cost Anomaly Detection System using AWS CloudWatch and ML

Trains an anomaly-detection model on historical billing metrics to flag unusual cloud spend spikes within hours of occurrence, integrated with CloudWatch alarms for automated Slack alerts.

Project code
AUX-CLD-1310
Domain
Cloud Computing
Type
Software project
Level · Year
Advanced · 2025-26

Technologies and components

AWS CloudWatchMachine LearningPythonLambda

What is included

  • Complete source code
  • Database / dataset and setup guide
  • Project report (college format)
  • PPT for review and viva
  • Installation and demo support
  • Viva question guidance

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Frequently asked questions

Can I get the Cloud Cost Anomaly Detection System using AWS CloudWatch and ML project for my final year?

Yes. This project (code AUX-CLD-1310) is available as a software project kit for the 2025-26 academic year. Contact us on WhatsApp to request it.

Can this project be customised?

Yes. Features, technology and documentation can be modified to suit your guide and college requirements.

Which departments is this project suitable for?

CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.

Get this project with full support

Ask about customisation, delivery time and viva support.

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