- Curated audio data by web scraping and pre-processing the data to feed it in the ML pipeline
- Analyzed the counter class data to be used to classify the baby cry audio from other noises
- Segmented the data by looking through the spectrograms and RMS plots using MATLAB
- Used Edge-AI solutions to train the models and select the best model suited for the client requirement