adding an example to generate and analyze automobile sensor data#4
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GopiKWork wants to merge 1 commit intostrands-labs:mainfrom
Open
adding an example to generate and analyze automobile sensor data#4GopiKWork wants to merge 1 commit intostrands-labs:mainfrom
GopiKWork wants to merge 1 commit intostrands-labs:mainfrom
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Adding a comprehensive example demonstrating ML-based anomaly detection on synthetic automobile sensor data using the ai_functions framework from AWS Strands Labs.
Files Added
auto_sensor_data_analysis_agent/generate_data.py- Generates realistic synthetic sensor data with anomaliesauto_sensor_data_analysis_agent/analyze_anomalies_if.py- Anomaly detection using Isolation Forestauto_sensor_data_analysis_agent/analyze_anomalies_pca.py- PCA-based anomaly detection with eigenvalue analysisauto_sensor_data_analysis_agent/requirements.txt- Project dependenciesauto_sensor_data_analysis_agent/README.md- documentationBy submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice