• ASWIN A
• Dr.G.RAMESH

This research paper explores the potential of deep learning techniques for predicting coughs. Coughs can be disruptive and indicative of underlying health conditions. This study investigates the feasibility of using deep learning models to analyze audio data and predict cough occurrences. We evaluate various architectures, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), to identify the most effective approach for cough prediction.

Deep Learning, CNN, RNN, Cough Prediction, Hybrid Approach;

"A Hybrid Approach for Cough Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.d59-d63, February-2025, Available :http://www.jetir.org/papers/JETIR2502307.pdf

"A Hybrid Approach for Cough Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppd59-d63, February-2025, Available at : http://www.jetir.org/papers/JETIR2502307.pdf