# BilalReffas/EmojiIntelligence

Neural Network built in Apple Playground using Swift

Repository: https://github.com/BilalReffas/EmojiIntelligence
Canonical: https://ross.abutalabs.com/products/emojiintelligence
Language: Swift
License: MIT
License Family: permissive
Topics: neural, network, swift, apple, playground, ipad, macos, ai, machine-learning, artificial-intelligence
Last push: 2018-08-21T19:41:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3432, "days_push": 2934, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1427, forks 83 (observed 2026-08-28T04:04:41.872868+00:00)

## What it is
A neural network implemented entirely in Swift inside an Apple Playground that recognizes hand-drawn emojis from 8x8 pixel inputs. It serves as an educational demo showing how a simple fully-connected network with sigmoid activation can be built from scratch.

## Use cases
- learn how neural networks work from scratch in Swift
- build a neural network in an Apple Playground
- recognize hand-drawn emoji images with machine learning
- teach machine learning concepts on iPad or macOS
- see an example of a fully-connected network with sigmoid activation
- find a fun beginner machine learning project in Swift

## When to choose
- you want to learn neural network fundamentals with readable Swift code
- you are teaching or demoing ML concepts in Apple Playgrounds on macOS or iPad
- you want a small, self-contained educational ML project with no dependencies

## When to avoid
- you need a production-ready or actively maintained ML framework
- you want GPU acceleration, convolutions, or modern deep learning features
- you need to train on large datasets or deploy models to production

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, image-processing
- domain: machine-learning, artificial-intelligence, education, tutorials
- platform: -
- tags: neural-network, swift-playground, emoji-recognition, educational-demo, from-scratch, macos, ios, swift

## Member repositories
- BilalReffas/EmojiIntelligence (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.872868+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:20.538811+00:00, confidence not recorded.
  - readme: https://github.com/BilalReffas/EmojiIntelligence (fetched 2026-08-28T04:04:41.872868+00:00, sha be1106d497fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.