Abhradipta/Live-Emotion-Recognition-Web-App
A Live Feed Facial Emotion Detection Web Application.
This application helps you monitor and understand emotional responses from live video feeds. It takes a real-time video stream as input and identifies seven core human emotions: angry, disgusted, fearful, happy, neutral, sad, and surprised. This is ideal for professionals in market research, customer experience, or driver safety looking to gauge emotional reactions.
No commits in the last 6 months.
Use this if you need to automatically detect and classify emotions from people's faces in live video for applications like customer feedback analysis or driver awareness systems.
Not ideal if you need to analyze complex, nuanced emotions beyond the seven basic categories or if you're working with static images rather than live video.
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12
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 05, 2020
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