TinyML Projects

Build Intelligent Systems on Tiny Hardware

Hands-on project pathways mapped to increasing complexity so you can evolve from proof-of-concept prototypes to expert-grade embedded intelligence systems.

Beginner Builds

Gesture Recognition

Train a motion-based classifier to detect gestures from IMU data and run inference on MCU hardware.

Beginner Builds

Clap Detector

Create a lightweight audio event detector with signal preprocessing and threshold confidence handling.

Beginner Builds

Voice Keyword Spotting

Deploy a compact wake-word model and benchmark latency, memory, and inference confidence.

Intermediate Builds

Smart Wearable

Fuse multiple sensor streams for activity intelligence, battery-aware runtime, and event-driven alerts.

Intermediate Builds

Fall Detection

Build a robust safety classifier with temporal windows and false-positive mitigation.

Intermediate Builds

Sensor Anomaly Detection

Implement anomaly scoring on-device for equipment monitoring and early warning systems.

Advanced Builds

Drone Sensor Intelligence

Integrate sensor fusion and intelligent decision triggers under tight real-time constraints.

Advanced Builds

Predictive Maintenance

Deploy continuous monitoring intelligence for fault prediction and maintenance scheduling signals.

Advanced Builds

Tiny Robotics

Build responsive autonomous micro-robot behavior using constrained perception and control loops.

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