RonyDidar/FER-Burnout-Detection-System
50
Detect stress and burnout in real time using facial emotion recognition and hybrid deep learning models for better mental health insights.
What's novel
Detect stress and burnout in real time using facial emotion recognition and hybrid deep learning models for better mental health insights.
Code Analysis
6 files read · 2 roundsA minimal boilerplate project with no functional implementation
Strengths
Clean file structure and basic README presence.
Weaknesses
Lacks any core logic, error handling, tests, or meaningful functionality; essentially empty.
Score Breakdown
Innovation
3 (25%)
Craft
49 (35%)
Traction
12 (15%)
Scope
49 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Concept Novelty+1
Craft
Ci+0
Tests+5
Polish+1
Releases+0
Has License+5
Code Quality+4
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+2
Has Dependency Mgmt+5
Traction
Forks+6
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+0
Scope
Commits+3
Languages+5
Subsystems+5
Bloat Penalty+0
Completeness+7
Contributors+5
Authored Files+12
Readme Code Match+3
Architecture Depth+5
Implementation Depth+8
Evidence
Commits
5
Contributors
1
Files
35
Active weeks
4
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
1
License
MIT