The idea for this project came from observing how unusual events and hidden problems often go unnoticed until they cause significant damage. I was inspired by the potential of AI to detect such anomalies early and assist in making faster, smarter decisions. One of the biggest challenges I faced was handling diverse datasets and reducing false alarms while maintaining accuracy. These challenges motivated me to continuously improve the model and build a reliable real-time anomaly detection system.

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