This project uses audio signal processing and machine learning to recognize bee pollination behavior in pomelo orchards. We extract MFCC acoustic features, then use Random Forest and SVM to classify ...

A deep-learning project that classifies the emotion label associated with a short speech recording. It uses Mel-Frequency Cepstral Coefficients (MFCCs) as audio features and an LSTM neural network for ...

Jal Rakshak is Inspired by the urgent need for a proactive, localized defense network, Jal-Rakshak is an autonomous, ...

Big update to the open-source rigging framework adds unified facial rigging, a new animation picker, and 3D onion skinning.