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AI/ML
Blaze AI Shopping Assistant
Voice-enabled AI shopping assistant that extracts product requirements from natural conversation, performs real-time web searches, and provides personalized recommendations.
Conversational AI with persistent memory, real-time search, and multi-turn reasoning.
What I Built
- Implemented LLaMA-based reasoning for product requirement extraction from voice queries
- Built memory layer to track user preferences and purchase history across sessions
- Integrated real-time web search for product discovery and price comparison
- Developed on-the-fly product analysis to generate personalized recommendations
Result
Context-aware recommendations across sessions; natural voice interaction with sub-2s response time
System Architecture
Architecture diagram coming soon
Overview
Built a conversational shopping agent that understands user preferences and helps compare products across retailers.
Tech Stack
PythonLLaMATypeScript
Category: AI/ML
Date: 2024-10