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JOYI is an AI assistant built using LangGraph, Streamlit, and Google Gemini. It supports memory, streaming responses, and a clean ChatGPT-style interface.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I've built a new mobile AI assistant that brings chat, text and image generation, voice input and document analysis into one app.
It have Smart Chat, Text Creator, Image Create, Voice Input, plus PDF Scanner, Photo Analyze, Social Content and Prompt Ideas, filtered by category.
Almost everything AI can do, just in one place.
Such an amazing tool! Keep going!
Visit the live app here: https://paws-and-puddle-pro.lovable.app/
Meet Sam. He runs a highly requested mobile pet grooming van in Denver, but standard booking calendars are quietly killing his margins. Because generic apps let customers pick any time slot they want, Sam spends two to three hours a day zig-zagging across the city in traffic, burning fuel and losing out on actual appointments just to accommodate a messy schedule.
To fix this, I built Paws & Puddle, a web app that solves his geographic routing nightmare before a booking ever hits the calendar. Instead of a basic form, I engineered a zero-click geo-gate. It automatically fetches a user's zip code via location services and dynamically filters the calendar to only show availability for the specific days Sam’s van is already assigned to their neighborhood.
Because forced logins instantly kill conversion rates, I designed a completely frictionless guest checkout. But to ensure long-term retention, the Thank You page features a "Guest-to-Auth" funnel that seamlessly converts their inputted data into an account post-booking, simply by asking the user to "set a password to track your van's ETA."
Backed by a full operator console where Sam can manage custom service zones, assign route days, and trigger automated status emails, this build proves that premium, minimalist design and aggressive problem-solving belong in the exact same app.
Check out the demo video below to see the end-to-end flow in action! @Lovable #lovablechallenge
Very nice visual design. I love the dog drawings 😍
Building AI for healthcare leaves zero room for error.
I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
