InferName — Name Gender Prediction Demo

An educational application built on the go-infer library, which predicts
gender from names using a machine learning model trained on public name registries.

Features:
- Type any name and see its predicted gender probability
- Select from multiple locales (Polish, US English, UK English)
- View detailed prediction results including source, support, and confidence
- Explore the mathematical model behind n-gram logistic regression
- Analyze weight tables and understand the pooled+residual architecture
- Browse name distributions per locale with interactive charts

The app is fully localized in Polish and English. It runs entirely on CPU
with no network access required for predictions — all data ships embedded
in a 5.4 MiB model artifact covering 113,822 distinct names.

Getting started:
The server starts on its own once the snap is installed. Open
InferName from your applications menu, run infername.open, or go to http://localhost:8080 in your browser.

By default it listens on the loopback interface only. To serve another
address, for example every interface on port 9000:
sudo snap set infername listen=0.0.0.0:9000