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Academic project
Spam SMS Classification and Cloud Deployment
Machine Learning and Cloud Environment Project
PythonText classificationJupyterUbuntuOpenStackCloud-deployment fundamentals
Technical approach
- Text preprocessing
- Model training in Jupyter
- Execution comparison across Ubuntu and OpenStack-style environments
- Evaluation using accuracy, precision, recall and F1
Limitations
- Academic dataset
- Accuracy depends on message distribution
- Evolving spam patterns require retraining
- Not a production messaging service
Visuals and artefacts
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Cloud workflow diagram
Asset →
/images/projects/spam-cloud-workflow.pngTechnologies
PythonText classificationJupyterUbuntuOpenStackCloud-deployment fundamentals