Back

Santosh

H • 6m

I have a training model on breathing coughing and wheezing, The training data used are from a smartphone microphone with an all environment and noise condition. Also trained the same model on an electronic stethoscope chest sound. Initial prediction

SoundBoardW Com

Hey I am on Medial • 2m

As a reader, this is a promising direction for early respiratory screening. Training across noisy smartphone data and stethoscope audio strengthens real-world usability. Explore trending sounds and download them at https://soundboardw.com/

2 Replies

Replies (2)

Sumangal Sharma

Hey I am on Medial • 2m

Bij https://gptnederlands.nl/ staat jouw privacy centraal. De site maakt gebruik van het GPT-5-model van OpenAI, maar vereist geen login en verzamelt geen persoonlijke data.

Sumangal Sharma

Hey I am on Medial • 2m

Bij https://gptnederlands.nl/ staat jouw privacy centraal. De site maakt gebruik van het GPT-5-model van OpenAI, maar vereist geen login en verzamelt geen persoonlijke data.

Recommendations from Medial

Santosh

H • 6m

9 Replies

Anand verma

"Coding the Future: ... • 28d

I am Anand Verma, a Class XI student from Warisaliganj, Bihar, and I have developed KasaHealth, an artificial intelligence–based mobile application designed to assist in the early screening of lung diseases using cough and breathing sound analysis.