An Always-On tiny machine learning Acoustic Classifier

Number of Students : 1
Guides : Chetan Singh Thakur

We propose a low powered (mW range) edge device capable machine learning system to detect various acoustic signatures. The necessary data will be trained on contemporary Neural Network/Machine Learning algorithm and deployed on microcontroller. We will build a complete hardware prototype including mechanical casing, which will be deployed on the field for real-time application.