Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)
An emotion-driven optimizer that feels loss and navigates accordingly.
Sentiment Analysis Visualization
An emotion-driven optimizer that feels loss and navigates accordingly.
Emotion-aware AI companion that uses facial expressions, voice tone, and chat sentiment to generate empathetic responses — all running offline on your device.
Real-time emotion recognition with 40-channel EEG, facial analysis & PPG fusion - PyQt6 interface with DEAP dataset, KNN/SVM classifiers
Mood Meets Media
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.
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
Minimalist emotion model for AI agents using only desire and anxiety.
The emotionally unstable AI assistant you never asked for.
🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.
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