Mood Based Music Recommendation using Voice Analysis

We're developing a mobile app that suggests music based on a user's current emotional state. Users speak into their device, and the voice input is securely processed through an AWS backend. Emotional features are extracted using speech pattern and tone analysis via NLTK. A machine learning model then classifies the mood into categories like energy, calmness, sadness, or happiness. The app instantly recommends music that aligns with the detected mood.