Analyzes children's speech to detect emotions and provides a corrected transcription along with corrected audio. Users can upload an audio file, identify the emotion, correct grammatical errors, and generate the final audio. Developed with ML (Random Forest) for emotion classification, Deep Learning NLP for grammar correction, Speech Recognition for speech-to-text, and Text-to-Speech (TTS) for audio generation.