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Embedded AI / Engineering Thesis

NEUROVIBE — Vibration Diagnostics of an Electric Motor Using CNN

Embedded system for real-time classification of motor operating conditions using vibration signals and edge AI.

01. The Problem

Traditional motor diagnostics often require expensive equipment and expert interpretation. Low-cost real-time edge monitoring was the goal.

02. Technical Solution

Developed a system using ESP32-S3 and ADXL345 accelerometer. A custom 1D CNN model was trained in TensorFlow and deployed using TensorFlow Lite Micro for on-device inference.