Overview MoodMeter.AI is designed to enhance online communication in remote work environments by providing real-time emotional intelligence. Utilizing facial expression and voice analysis, our tool offers insights into the emotional state of meeting participants, fostering better understanding and collaboration in online meetings.
Features Real-Time Emotion Detection: Leverages machine learning to analyze facial expressions and voice tones, offering instant feedback on the emotional state of participants. Facial Expression Analysis: Uses advanced facial recognition technology to interpret non-verbal cues, essential for understanding nuanced communication. Voice Sentiment Analysis: Processes vocal inputs to determine sentiment, aiding in the perception of tone and intent. Interactive Dashboard: Provides a user-friendly interface with real-time analytics and summaries of emotional cues. Tech Stack React.js: Ensures a dynamic and responsive user interface, catering to interactive user experiences. Node.js and Express.js: Creates a robust server-side architecture that is scalable and efficient. Python: Powers our advanced machine learning models for accurate and fast sentiment analysis. Agora SDK: Enables real-time video communication, essential for analyzing online meeting interactions. LLM (Language Learning Models): Utilized for sophisticated text summarization and sentiment analysis, enhancing the accuracy of our emotion detection algorithms.



Log in or sign up for Devpost to join the conversation.