JaweriaAsif745/Human-Activity-Recognition
48
Real-time Human Action Recognition using CNN + LSTM in PyTorch. Recognizes actions from videos or webcam, displaying top predictions with confidence scores via a Streamlit web app.
What's novel
Real-time Human Action Recognition using CNN + LSTM in PyTorch. Recognizes actions from videos or webcam, displaying top predictions with confidence scores via a Streamlit web app.
Score Breakdown
Innovation
2 (25%)
Craft
51 (35%)
Traction
6 (15%)
Scope
45 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+0
Craft
Ci-1
Tests-2
Polish+0
Releases+0
Has License+5
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+0
Early Traction+0
Devto Reactions+0
Community Contribs+0
Scope
Commits+7
Languages+3
Subsystems+5
Bloat Penalty+0
Completeness+7
Contributors+5
Authored Files+4
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8
Evidence
Commits
38
Contributors
1
Files
9
Active weeks
13
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
0
License
MIT