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Outfitted.AI 👟✨

From inspiration to action: AI-powered fashion discovery.

Ever spotted someone’s outfit and thought, “Where can I get shoes like that?”
Outfitted.AI bridges that gap—upload a photo, get four AI-designed shoe concepts that match the vibe, and instantly find shoppable products online.


🎯 Inspiration

Scrolling through fashion sites or hunting for the perfect item takes forever.
We wanted to flip the process: start with the look you like, then find matching pieces instantly.

So we built a tool that uses visual AI to generate stylish footwear ideas—then scrapes the web to find real shoes that match.


💡 What It Does

  1. 📸 Input: Upload a photo of a person’s outfit.
  2. 🧠 Generation: AI designs 4 shoe concepts matching their vibe.
  3. Selection: You pick the concept you like best.
  4. 🔍 Search & Scrape: We reverse image search that concept and return real, shoppable products with:
    • Product Name
    • Price
    • Store
    • Product Image

→ A few clicks from visual inspiration to real-world fashion.


⚙️ How It Works

👁️ Gemini Vision + Style Generation

  • Gemini 2.0 Flash analyzes the photo.
  • Our custom generative model creates 4 AI-designed shoes tailored to the outfit.

🧍 User Selection

  • You pick your favorite from the 4 concepts.

🔎 Reverse Image Search + Scraping

  • Using Serp API, we reverse image search the concept.
  • Gemini 2.5 Pro and our scraper extract:
    • Product Title
    • Price
    • Store URL
    • Visuals

🧱 Built With

  • React Native + TypeScript — Cross-platform mobile app
  • Python — Backend & scraping logic
  • MongoDB — User/product data storage
  • Amazon Web Services — Hosting & pipeline orchestration
  • Gemini 2.0 & 2.5 — Image analysis, generation, and scraping logic
  • Serp API — Reverse image search from Google

⚔️ Challenges

  • 🎨 Visual Prompt Tuning — Getting stylish and coherent shoe generations from Gemini required lots of experimentation.
  • 🧼 Scraping Variability — Product pages across retailers are inconsistent; scraping needed flexible parsing logic.
  • ⏱️ Timing + Sync — Ensuring each step in the pipeline ran smoothly without long delays.

🏆 Accomplishments

  • ✅ End-to-end fashion discovery in a weekend
  • 🤝 Bridged generative AI with real product search
  • ⚡ Delivered a tool that feels practical, fast, and fun

📚 What We Learned

  • Using Gemini for visual-to-style generation
  • Implementing reverse image search pipelines with real-world e-commerce data
  • Chaining multiple AI and scraping layers into one seamless UX

📈 What’s Next

  • 💅 Polished Frontend UI — Launching a clean, responsive app interface
  • 🧥 Full Outfit Generation — Not just shoes—tops, pants, accessories next
  • 🔐 User Accounts & History — Save searches, revisit old looks
  • 🛍️ E-commerce Integrations — Retailer partnerships for direct product pulls & affiliate support

We believe Outfitted.AI can evolve into your go-to style discovery companion.


🤝 Contributing

We’re open to PRs, feedback, and collaborations.
Feel free to fork, star ⭐️, and get involved!


📜 License

MIT License

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