Covid-19 test recommender with cough sensing

Our project is summarised on the keystone and working of our deep learning model that initially preprocesses taken through input.Input is narrowly taken through an smartphone-Android then it extracts the voice through python library librosa,speech recognition respectively.The model that support its

Project Title

Covid-19 test recommender with cough sensing

Project Area of Specialization

Artificial Intelligence

Project Summary

Our project is summarised on the keystone and working of our deep learning model that initially preprocesses taken through input.Input is narrowly taken through an smartphone-Android then it extracts the voice through python library librosa,speech recognition respectively.The model that support its eventually was hidden maskon model(HMM).After converting audio frequencies to text,we througholy compare it with the coswara cough COVID19 detection data set after that the model is able to predict through the audio sample that were givan as a input.tThe model was working efficiently because of the intergration training and testing on the external GPU.Thus our project mainly satisfies the barrier lifter in between the real time specialist doctors and DL.

Project Objectives

.The main focusis to lift the barrier among the field of AI and real time detection in daily covid-19 cough diseases.

.One of the moire inportant objective that includes that real time analysis through the audio samples of a person.

.It also ensures the infected persons doesnot need to go through the place or open places.

.It also provides the real time result copy that user is infected or not.

.One of the major objecytive was compeleted through dataset compassion accordingly.

Project Implementation Method

The basic phase was to distinguish between in model training and algorithm selection.

The dataset and the data that was collected in the real time was compard among the infected person and in uninfected person so that feature extracted able to distinguish the workings.

We used the audio sample by speech recognition,Librosa and then we extracted the features that were keen for the model trainings.

After implementing the algorithm and then we tested on real time analysis so that we can predict the working respectively.

Benefits of the Project

The most important benefit that our project had given was the real time analysis of cough covid19.

Other market benefit is that the industry isn"t ready and we gave the product that can easily boost medical market.

It can readily be used among the different hospitals and clinics respectively.

Benefits from the project was that it can lift up the barrier in between the field of Ai and medical industry

Our project can readily be used among any filed so that the diseases can be detected easily. 

Technical Details of Final Deliverable

Technical detail is combining phases of all three basic procedures which mostly included data pipeline to final fulfil outcomes of the project.The implementation phase play a vital role in building the project idea with respective workflow data streaming and project portfolio.Integrating phase is also something very vulenerable in accomplishing the predicted outcomes of the data.It also present technicality through the data works and the most important features extracted definitely.After the designing and training phase we eventually implemented it.Technical details also includes the algorithm selection,model selection and test unit testimony 

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com