Emotion Detection

TensorFlow Lite model that classifies facial emotion in real time at 30 FPS on-device.

• Quantized model down to a 4.2MB TFLite binary.
• Camera pipeline with ML Kit for face detection.
• Fully offline inference for privacy.

• 30 FPS on target mid-range devices.
• 87% classification accuracy on held-out set.