Inspiration
Online shopping can feel 🥱 disconnected — endless scrolling, reading reviews, and still guessing if an outfit will suit you. We wanted something personal, immersive, and effortless ✨. Inspired by conversational AI agents, we imagined a world where you talk to your AI stylist 🗣️👗, try things on instantly 👀, and get real-time personalised recommendations 🎯 where AI Agent understands your preferences and shopping history, offering personalised and effective suggestions that works.
Our solution provides a hands-free shopping experience 🤖🛍️ that works anywhere — on a browser 💻, your phone 📱, or even a VR headset 🥽. Seamless, interactive, and straight from the future of shopping 🚀.
What it does
- Describe your mood or style → see yourself in 4K HD AI try-ons with video instantly.
- Ask questions, browse collections, or place orders through voice, video, or text.
- Get personalized fashion and food suggestions based on your history and preferences.
- Share looks with friends via a built-in interactive social feed for feedback. Dripify turns shopping into a hands-free, expressive lifestyle experience.
How we built it
- Tavus AI powers real-time conversational avatars for natural human-like interaction.
- ElevenLabs enables lifelike voice synthesis and recognition.
- React 18 + Vite + Tailwind deliver a fast, responsive, and beautiful UI.
- Supabase & Memgraph handle authentication, profiles, and memory-based personalization.
- Daily.co supports real-time audio/video streaming for immersive try-ons.
- Deployed with a modern cloud setup for scalability and low latency.
- Amazon Bedrock models power blazing-fast inference. - recommendation
Challenges we ran into
- Achieving real-time 4K image and video outfit try-ons while keeping latency low.
- Syncing multimodal inputs (voice, video, text) seamlessly.
- Balancing personalization vs. privacy when storing user preferences.
- Handling multiple third-party API integrations smoothly under time pressure.
Accomplishments that we're proud of
- Built a fully working multimodal AI shopping assistant in a hackathon timeframe.
- Integrated voice, video, and real-time try-ons into one cohesive experience.
- Created a sleek, modern glass morphism UI that feels futuristic yet intuitive.
- Delivered a hands-free shopping journey that feels like the future of e-commerce.
What we learned
- The future of shopping is conversational, multimodal, and memory-driven.
- User delight comes not just from AI smarts but from intuitive design and speed.
- Building with cutting-edge APIs requires rapid experimentation and creative problem-solving.
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