# Project export: Gatebreaking

This document was generated by HackStack to give an AI agent context about a hackathon project. Sections are labeled with their provenance; content marked as truncated was cut to keep this document small.

## Project metadata

- Hackathon: UC Berkeley AI Hackathon 2026
- Tagline: Turn outfit inspo into reality—in seconds.
- Devpost: https://devpost.com/software/gatebreaking
- GitHub: not linked
- Demo: https://asi1.ai/shared-chat/51159c08-bcd5-426d-b94c-f55cb739da09
- Video: https://www.youtube.com/embed/jOfzZslY_KY?enablejsapi=1&hl=en_US&rel=0&start=&version=3&wmode=transparent
- Team: contributor stats unavailable

## Devpost submission (written by the team)

### Inspiration

Fashion inspiration is everywhere, but turning a saved outfit into something you can actually buy is slow and fragmented. Gatebreaking removes that bottleneck.

### What it does

Upload an outfit image, and Gatebreaking identifies each clothing item, searches live shopping listings, and ranks the closest purchasable matches.

### How we built it

We built a multi-agent pipeline using Fetch.ai uAgents and Agentverse. Claude analyzes outfit images, SerpAPI searches Google Shopping, and specialized search and ranking agents return the best matches through an orchestrator.

### Challenges we ran into

Our biggest challenges were handling inconsistent model-generated JSON, search latency, coordinating asynchronous agents, and separating ASI:One user addresses from inter-agent Chat Protocol addresses.

### Accomplishments we're proud of

We created an end-to-end system that turns visual inspiration into ranked, shoppable product links through a coordinated multi-agent workflow.

### What we learned

Reliable agent systems need more than strong models. Clear message contracts, request tracking, address handling, observability, and graceful failure handling are equally important.

### What's next

Next, we want to enable automatic payments through Agentverse, allowing agents to complete purchases directly with merchant stores.

## README (from the GitHub repository)

No README available.

## Detected evidence (automated analysis)

No repository was indexed for this project. Claimed technologies below could not be checked against code.
- Python (language) — claimed on Devpost, not found in the code

## Codebase structure

No repository index available.

## Key source files

No repository index available; no source files included.