ESP32-based TinyML condition monitoring prototype using real sensor data, embedded inference, OLED, NeoPixel, and buzzer feedback.

Simulation and response analysis of a second-order mass-spring-damper dynamic system with parameter studies and control-oriented metrics.

Computer vision project for industrial surface defect classification using PyTorch, transfer learning, and real defect image data.

Control-oriented ball-and-beam simulation with PID position control, disturbance response, and preparation for future embedded hardware implementation.

Kalman filter state estimation for a simulated DC motor with noisy speed measurements and filtering baseline comparison.

Machine learning classification of mass-spring-damper dynamic system behavior under clean and noisy simulated conditions.

DC motor dynamic simulation with current, speed, position response analysis and parameter studies for inertia and friction.

ESP32 and MPU6050 attitude estimation project with raw IMU sensing, roll/pitch estimation, and filtering for intelligent physical systems.

IoT digital twin pipeline using ESP32 sensing, MQTT communication, ML inference, and a Node-RED dashboard.

Bearing fault diagnosis using real CWRU vibration time-series data, feature extraction, and ML model comparison including an MLP neural network.

Aerospace- and robotics-inspired sensor fusion project for 2D state estimation using simulated GPS/IMU data and Kalman filtering.