maelfabien/Multimodal-Emotion-Recognition

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1089 stars · 320 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A real-time multimodal emotion recognition web app built with Flask that analyzes emotions from text, audio, and video inputs using deep learning models. It combines facial, vocal, and textual analysis through an ensemble model, developed in partnership with the French Employment Agency.

Use cases

• detect emotions from facial expressions in video
• analyze sentiment and emotion in text
• recognize emotions from voice recordings
• build a multimodal affective computing demo
• run real-time emotion analysis in a web app
• learn deep learning approaches to emotion recognition

When to choose

• you need a reference implementation combining text, audio, and video emotion models
• you want a ready-to-run Flask web app for real-time emotion analysis
• you are studying multimodal sentiment analysis with Keras/TensorFlow

When to avoid

• you need a production-grade, actively maintained emotion recognition service
• you require high accuracy on modern benchmarks or recent model architectures
• you need a lightweight library to embed in an existing pipeline rather than a standalone app

Facets

application · maturity maintenance

machine-learning deep-learning nlp audio-processing computer-vision data-science artificial-intelligence machine-learning computer-vision python cross-platform emotion-recognition affective-computing multimodal flask keras tensorflow sentiment-analysis real-time natural-language-processing audio web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="maelfabien/Multimodal-Emotion-Recognition")