# ErickWendel/semana-javascript-expert07

JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐

Repository: https://github.com/ErickWendel/semana-javascript-expert07
Canonical: https://ross.abutalabs.com/products/semana-javascript-expert07
Homepage: https://semana.javascriptexpert.com.br/
Language: JavaScript
License Family: other
Topics: eye-detection, hand-detection, javascript, machine-learning, mediapipe, mediapipe-face-detection, mediapipe-hands, multithreading, tensorflow, tensorflowjs, tutorial, webworkers, canvas, webcam
Last push: 2023-12-12T13:50:14+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 91
- inputs: {"age_days": 1284, "days_push": 995, "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 2362, forks 505 (observed 2026-08-28T04:06:40.990021+00:00)

## What it is
JS Expert Week 7.0 tutorial project that builds a gesture controller for streaming platforms using eye blink and hand detection with MediaPipe and TensorFlow.js in the browser. It ships as a hands-on course codebase where machine learning inference runs in Web Workers to control scrolling, clicking, and video playback via webcam gestures.

## Use cases
- control a video player by blinking my eyes
- scroll web pages with hand gestures from my webcam
- learn to run MediaPipe hand and face detection in the browser
- practice running TensorFlow.js inference in a web worker
- build a hands-free gesture-based UI with JavaScript
- follow a guided tutorial on browser-based computer vision

## When to choose
- you want a structured, project-based tutorial on browser ML with MediaPipe and TensorFlow.js
- you need a reference implementation of webcam gesture control with Web Worker offloading
- you are learning JavaScript multithreading and canvas drawing in a fun applied project

## When to avoid
- you need a production-ready gesture control library with a stable API and support
- you require a permissively licensed dependency - the repo has no explicit license file
- you need server-side or native (non-browser) computer vision
- you want a maintained product rather than course material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, computer-vision, gui
- domain: machine-learning, computer-vision, web-development, education, tutorials
- platform: browser, cross-platform
- tags: gesture-control, mediapipe, tensorflowjs, web-workers, eye-detection, hand-detection, webcam, tutorial-project, javascript-expert-week, nodejs, web-server

## Member repositories
- ErickWendel/semana-javascript-expert07 (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.990021+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 2026-08-30T02:36:02.693772+00:00, confidence not recorded.
  - readme: https://github.com/ErickWendel/semana-javascript-expert07 (fetched 2026-08-28T04:06:40.990021+00:00, sha c80e65c5c0bb)
  - homepage: https://semana.javascriptexpert.com.br/ (fetched 2026-08-29T10:16:48.868049+00:00, sha b89f01d7f5b5)
  - registry_npm: https://registry.npmjs.org/semana-javascript-expert07 (fetched 2026-08-29T10:16:48.870985+00:00, sha e82b004a8568)
- Data as of 2026-08-30T08:39:29.467469+00:00.