Mouneshgouda / Real-Time-Face-Emotion-Detection-Application

"Real-Time-Face-Emotion-Detection-Application" is a publicly available project aimed at detecting facial expressions in real-time. Leveraging advanced computer vision techniques, it accurately identifies emotions such as happiness, sadness, anger, and surprise from live video feeds. With its intuitive interface,

Mouneshgouda
Mouneshgouda
Date Created 2024-03-14 (9 months ago)
Commits 2 (last one 9 months ago)
Stargazers 38 (0 this week)
Watchers 2 (0 this week)
Forks 13
License unknown
Ranking

RepositoryStats indexes 595,856 repositories, of these Mouneshgouda/Real-Time-Face-Emotion-Detection-Application is ranked #530,949 (11th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,752/17,543.

Mouneshgouda/Real-Time-Face-Emotion-Detection-Application is also tagged with popular topics, for these it's ranked: face-recognition (#300/346),  face-detection (#286/321)

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Recent Commit History

2 commits on the default branch (main) since jan '22

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No issues have been posted

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-29 @ 09:19pm, id: 772049867 / R_kgDOLgSLyw