This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough sounds and clinical information.

Cough detection with Log Mel Spectrogram, Wavelet Transform, Deep learning and Transfer learning techniques

Giải pháp của nhóm "đi thi", đạt được Hạng 3 vòng Về đích với AUC 0.92 trong cuộc thi AICovidVN115m

Sickness Detection with 80% Val Accuracy. Trained on (25% of available train data~5GB for 'Pfizer Digital Medicine Challenge'). Reached to accuracy of 80% in this Demo/Prototype

A python model to detect and segment coughs, forked from coughvid's repo

An app and a smart assistant that lets friends and family keep track of each others' health, groceries and take care of each other during the pandemic. Built for cross-platform using Dart. The smart assistant is powered with ML/NLP and a knowledge-base obtained by daily scraping official authoritative sources for the pandemic such as the WHO/CDC…

🫁 🔉Repo for Pfizer Digital Medicine Challenge: Covid-19 Detection from Cough Voice Samples

Machine Learning based Cough-Detection from Audiorecordings by using MFCCs, PCA and One-Class-SVM

A sound classification model capable of distinguishing a COVID-related cough from a benign cough using recordings of a patient's cough. Achieved 70% accuracy in predicting if a cough is indicative of a COVID-19 case.