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An IoT-enabled smart waste management system using ultrasonic sensors, NodeMCU, and cloud analytics to monitor bin levels, optimize waste collection, and reduce environmental impact.
Created an anomaly detection system by combining Isolation Forest with Autoencoders for identifying anomalies in cloud telemetry data. It was connected to a FastAPI server, as well as a Streamlit UI to be able to observe and run tests on the predictions live.
How to use Cloud Monitoring to gain insight into applications that run on Google Cloud.
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