How I Rebuilt My Chrome Extension into a Zero-Latency, AI-Powered Contextual Engine (Manifest V3 + Groq)

Short summary

WordSense AI, a Chrome extension, was rebuilt from a static dictionary into a context-aware AI reading assistant using Groq's Llama-3.1 for zero-latency inference. The architecture leverages Manifest V3, streaming responses, and dynamic system prompts to handle polysemy and technical terminology across customizable knowledge profiles. Full stack: vanilla JS frontend, Python Flask backend on Hugging Face Spaces, with real-time server-sent events and hardware-accelerated tooltip UI.

• •Chrome extension completely rebuilt from static dictionary to AI-powered contextual definitions using Groq LLM
• •Context-aware inference with toggleable knowledge profiles (CS, Science, Medical, Law, Architecture) plus custom profiles
• •Zero-latency streaming architecture: Manifest V3 + vanilla JS frontend, Flask backend on Hugging Face, Groq/Llama inference with SSE delivery

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