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@swastik-21
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Hi,
I’ve added a simple anomaly detection script under ai_modules/anomaly_detection.py. Right now it uses a z-score approach to flag unusual values in water usage data. The threshold can be adjusted so it works with different datasets.
I also created a requirements.txt so dependencies can be installed more easily.
Tested locally with sample data, and it correctly flagged extreme outliers. This is an initial version, so open to feedback or suggestions on improvements.
Thanks

@swastik-21
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@microsoft-github-policy-service agree

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