Respiratory disease prediction using mobile application

Project Title

Respiratory disease prediction using mobile application

Project Area of Specialization Artificial IntelligenceProject 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.

Final Deliverable of the Project Software SystemCore Industry MedicalOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	5000
Software liscence	Miscellaneous	1	5000	5000