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VoiceMatch is a fully functional AI Multimodal Search MVP designed for mobile e-commerce. It solves traditional text search friction by allowing users to point their phone camera at any object and use a short voice note to refine their search (e.g., 'Find this jacket but in red leather').The application features a production-ready pipeline combining high-fidelity image input with Whisper-powered audio transcription. It is built using a modern, scalable architecture designed for easy deployment and immediate commercial scaling.Technical Stack:- Frontend & Framework: React / Next.js- Styling & UI: Tailwind CSS- Language: TypeScript- AI Core Pipeline: OpenAI API (Vision + Whisper)
Comments (5)
embedding model choice makes or breaks mobile latency
whats the match accuracy like vs google lens
finding stuff by snapping a pic is way better than typing
vision model latency on mobile will crush conversion rates
what vector db is this running on
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