Respiratory disease prediction using mobile application

Our project is related to disease prediction we will be helping doctors  in detection of respiratory diseases through our mobile application. We had trained our data set on two models and based on the accuracy we decided to choose one

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

Our project is related to disease prediction we will be helping doctors in detection of respiratory diseases through our mobile application. We had trained our data set on two models and based on the accuracy we decided to choose one

Project Objectives

Detect a better ml alogrirthm from svm and knn
Integrate our ml model with mobile app
Provide atleast a satisfactory accuracy in our predictions

Project Implementation Method

First we gathered data related to different diseases
Feature extraction of those audios were done
Then ml algorithms were trained on those extracted features
Mobile app is being designed user will upload an audio and it will then go to our ml model and predict the disease and return the disease back to application as a result

Benefits of the Project

It can be used by doctors to detect respiratory diseases
It will be easy to use
Since it is a mobile app any doctor can use it at any time from any where

Technical Details of Final Deliverable

A mobile application will be our final deliverable where user will give a recorded audio which will be recorded by a electronic stethoscope and he will obtain disease name as a prediction if any.