Developing an AI-powered smart glasses system taught me invaluable lessons about real-time computer vision, optimizing models for embedded devices, and the challenges of integrating multiple AI modalities. Here's what I learned about balancing accuracy with performance on Raspberry Pi, handling real-time audio processing, and creating natural human-machine interaction through voice commands and TTS responses.

The project forced me to think deeply about resource constraints, model optimization, and user experience design. One of the biggest challenges was implementing object detection that could run smoothly on the Pi while maintaining enough accuracy to be useful. I experimented with model quantization, pruning techniques, and even custom lightweight architectures.