Edge AI Module

Built an end-to-end Edge AI system converting raw sensor signals into frequency-spectrum images for machine health diagnosis. Designed and trained a custom CNN for spectrum image analysis enabling automated condition monitoring. Optimized inference using model quantization to reduce latency and resource usage on edge devices. Developed dashboards to interpret outputs, detect anomalies, and validate performance.