Data Science & Machine Learning System Architecture

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An overview of an Aircraft Anomaly Detection System leveraging Autoencoder models for enhanced flight safety and maintenance. It details system architecture, including data processing and visualization, Autoencoder implementation, and performance metrics. The use of Python, TensorFlow, and Flask for automation is highlighted, alongside the solution's benefits and limitations. Concludes with its impact on aviation, challenges, and future potential for real-time applications.