Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)
An emotion-driven optimizer that feels loss and navigates accordingly.
An emotion-driven optimizer that feels loss and navigates accordingly.
Real-time emotion recognition with 40-channel EEG, facial analysis & PPG fusion - PyQt6 interface with DEAP dataset, KNN/SVM classifiers
AI-first subjectivity kernel for agents — persistent emotional state, relation dynamics, adaptive reply loops. Zero extra LLM calls.
Emotion-aware AI companion that uses facial expressions, voice tone, and chat sentiment to generate empathetic responses — all running offline on your device.
Sentiment Analysis Visualization
🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.
NamoNexus v1.0 - Emotion-aware AI Dashboard with Real-time Visualization
A deep learning project for generating emotionally expressive music. Using Transformer and GAN models, it enables user-controlled music creation based on specified emotions. Aims to produce realistic, human-like melodies
Validates whether META's TRIBE v2 predicted brain activations help LLMs understand emotion. 3-condition A/B/C experiment, 100 samples, ElevenLabs audio + local LLM inference.
Real-time facial emotion recognition from webcam
Mood Meets Media
Enhanced facial emotion recognition with CNN-BiLSTM
Minimalist emotion model for AI agents using only desire and anxiety.
The emotionally unstable AI assistant you never asked for.
Furkids AI 招募儲備技術合夥人｜Decode the silent language of pets, build the world’s leading multimodal intelligence system 🐾🚀
AI poster project exploring Affective Computing & its ethical & social impact. covering emotion detection through facial expressions, voice, physiological data, & ML, with applications in healthcare, education, automotive safety, & customer service, plus risks such as privacy, bias, & emotional manipulation for the AI CA1 module at CCT College.
An intelligent speech recognition system that combines OpenAI's Whisper for accurate transcription with dual emotion detection models. Analyzes both audio characteristics (tone, pitch, intensity) and textual content to provide comprehensive emotional context alongside transcriptions.
C# SDK for the Hume AI API -- emotion recognition and analysis from audio, video, text, and images
Add a description, image, and links to the emotion-ai topic page so that developers can more easily learn about it.
To associate your repository with the emotion-ai topic, visit your repo's landing page and select "manage topics."