IndiSpeak is a machine learning project aimed at classifying audio embeddings into various Indian languages. The project leverages the power of deep learning and ensemble methods to achieve accurate language classification.

• Utilizes VGGish model for extracting audio embeddings from audio files.
• Implements Random Forest (RF) as the classification algorithm.
• Employs GridSearchCV for hyperparameter tuning to optimize model performance.

You can find the final presentation slides here.