Snap a photo, get a listing: a local Gemma 3 listing generator for secondhand clothes

Описание и применение

Система позволяет продавцам на Mano en Mano быстро создавать листинги одежды, загружая 1‑4 фото и получая автоматически заполненную форму из 12 полей, генерируемую локально Gemma 3 через Ollama.

Задача

Sellers on Mano en Mano must manually fill 12 fields for each garment, making bulk listings slow and discouraging listings.

Результат

The system reduces listing time from minutes per garment to seconds, enabling sellers to list dozens of items efficiently while keeping data privacy and avoiding API costs.

Рабочий процесс

• Upload 1‑4 photos of a garment
• Gemma 3 (gemma3:4b) runs locally in Ollama and analyzes the images
• The backend POST /generate-listing returns a JSON listing matching the marketplace’s schema
• The frontend displays an editable form pre‑filled with the generated data
• Seller reviews, corrects any fields, and publishes the listing

Доказательства

Upload 1 to 4 photos of a secondhand garment and get an editable product listing with 12 fields, generated locally by an open-weight vision model.

Источник

Gemma 3 (4B, vision‑capable), open weights.

Источник

On my laptop, each garment takes roughly 15 to 30 seconds (the first request is slower because it loads the model).

Источник

Sellers’ photos go from the browser to my own server to a model running on the same machine. They never reach a third party.

Источник