Phonkich/gesture-mouse

View on GitHub by @Phonkich

🖐️ Control your mouse effortlessly with real-time hand gestures using AI and computer vision for a touchless, intuitive experience.

What's novel

🖐️ Control your mouse effortlessly with real-time hand gestures using AI and computer vision for a touchless, intuitive experience.

Code Analysis

1 files read · 2 rounds

A single-file Python script that uses MediaPipe and OpenCV to track hand landmarks from a webcam and maps them to cursor movements, clicks, and scrolling.

Strengths

The core logic is functional and implements real-time computer vision with smoothing algorithms for cursor tracking. It successfully integrates multiple libraries (MediaPipe, PyAutoGUI, Pynput) into a working prototype without external dependencies beyond standard pip packages.

Weaknesses

Lacks any error handling for hardware failures or configuration issues, has no tests, and is entirely monolithic in a single file with hardcoded magic numbers. The README inaccurately implies broader gesture support than what is implemented.

Score Breakdown

Innovation

3 (25%)

Craft

38 (35%)

Traction

8 (15%)

Scope

42 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+0

Craft

Ci+0

Tests-1

Polish+0

Releases+0

Has License+5

Code Quality+7

Readme Quality+15

Recent Activity+7

Structure Quality+3

Commit Consistency+2

Has Dependency Mgmt+0

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+3

Languages+3

Subsystems+0

Bloat Penalty+0

Completeness+4

Contributors+6

Authored Files+4

Readme Code Match+3

Architecture Depth+3

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

MIT