On the Subject of Emotion Detection
• Developed an Emotion Detection system using Python that can detect emotions from three sources: face, text, and audio.
• Utilizes computer vision techniques and deep learning models to analyze facial expressions and recognize emotions from faces.
• Implements Natural Language Processing (NLP) to process and analyze textual data, predicting emotions from written content.
• Utilizes audio processing and machine learning algorithms to recognize emotions from audio recordings.
• Offers a user-friendly interface for users to input images, text, or audio and receive emotion predictions.
• The project demonstrates the power of multi-modal Emotion Detection, enabling comprehensive emotion analysis from different sources.
• Provides practical applications in sentiment analysis, emotion recognition in customer feedback, and mood monitoring in voice-based applications.
• Showcases your proficiency in Python programming, computer vision, NLP, and audio processing.
Project Genre
Technologies Used