IdeaCredIdeaCred

3liYounis/Theft-Detection-System

39

Computer Vision & Deep Learning models for tracking user behavior in shops, predicting real-time probability of shoplifting and enables instant alerts to a mobile app. The full report includes information about the thief extracted by the facial encoding and with the help of Face Recognition pre-built model.

What's novel

Computer Vision & Deep Learning models for tracking user behavior in shops, predicting real-time probability of shoplifting and enables instant alerts to a mobile app. The full report includes information about the thief extracted by the facial encoding and with the help of Face Recognition pre-built model.

Score Breakdown

Innovation
3 (25%)
Craft
34 (35%)
Traction
9 (15%)
Scope
44 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+1

Craft

Ci-3
Tests-4
Polish+0
Releases+0
Has License+0
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+5
Has Dependency Mgmt+5

Traction

Forks+0
Stars+6
Hn Points+0
Watchers+3
Early Traction+0
Devto Reactions+0
Community Contribs+2

Scope

Commits+8
Languages+3
Subsystems+5
Bloat Penalty+0
Completeness+6
Contributors+7
Authored Files+8
Readme Code Match+3
Architecture Depth+7
Implementation Depth+8

Evidence

Commits

58

Contributors

3

Files

26

Active weeks

14

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

1

Forks

0

License