# karanchahal/DoodleMaster

"Don't code your UI, Draw  it !"

Repository: https://github.com/karanchahal/DoodleMaster
Canonical: https://ross.abutalabs.com/products/doodlemaster
Language: JavaScript
License Family: other
Last push: 2019-10-31T21:02:52+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": 3217, "days_push": 2498, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2408, forks 98 (observed 2026-08-28T04:06:44.254266+00:00)

## What it is
Doodle Master is a proof-of-concept AI tool that turns hand-drawn UI mockups into real HTML/CSS code using a CNN classifier for detecting UI components like text views, headers, image views, and buttons. It runs as a Python server with a browser-based drawing interface and generates output HTML files.

## Use cases
- turn hand-drawn UI sketches into HTML code
- prototype interfaces by drawing instead of coding
- generate UI code from mockups automatically
- classify doodles into UI component types
- rapidly demo design ideas as real code

## When to choose
- you want to experiment with sketch-to-code AI tools
- you need a demo of AI-assisted UI prototyping
- you're exploring CNN-based doodle classification

## When to avoid
- you need production-ready UI code generation
- you require support for many UI component types
- you need maintained software with a license

## Facets
- artifact type: application
- maturity: abandoned
- function: machine-learning, deep-learning, computer-vision, ui-components
- domain: artificial-intelligence, machine-learning, web-development, frontend, developer-tools
- platform: python, cross-platform
- tags: sketch-to-code, ui-prototyping, doodle-recognition, proof-of-concept, cnn-classifier, code-generation, web-server

## Member repositories
- karanchahal/DoodleMaster (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:44.254266+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 2026-08-30T02:34:03.508416+00:00, confidence not recorded.
  - readme: https://github.com/karanchahal/DoodleMaster (fetched 2026-08-28T04:06:44.254266+00:00, sha 2d600850bbbc)
- Data as of 2026-08-30T08:39:29.467469+00:00.