I Built AI Smart Glasses That Respond in Under 2 Seconds — Here's How

Short summary

A developer built sub-2-second AI smart glasses using Groq's LPU-based inference, faster-whisper for speech-to-text, and real-time vision on a $60 Raspberry Pi deployed on Oracle Cloud's free tier. Key optimizations: Groq's LPU inference beats GPU-based OpenAI/Gemini for latency, Voice Activity Detection eliminates processing silence, and careful JPEG encoding keeps image transfer fast. Complete working Python code, architecture, and real benchmarks (1.0–1.6s end-to-end) included.

• •Built real smart glasses with <2s response time using Groq LPU inference
• •Voice Activity Detection + faster-whisper eliminate latency waste from continuous processing
• •Complete Python implementation on $60 Raspberry Pi + Oracle free tier

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