Loading... Loading...
Grenze Logo
GRENZE International Journal of Engineering and Technology Vol. 9 (2023), Issue 2

Parkinson’s Disease Prediction System

Authors

Kalash Kesharwani, Aditi barbate, Akanksha Dhote, Vedanti kidile, Anuradha Joshi

Abstract

The adaptation of internet-based technology (specially computers) in the medical industry has caused the collection of digital data. Due to the considerable amount of data, doctors are facing problems to study symptoms precisely and identify diseases at a starting stage. Our project is a healthcare-based project and with the help of this project, we are trying to predict a very silent and less known disease that is Parkinson's disease. People nowadays are having a busy schedule in their life and they usually don’t prioritize their health so our project mainly focuses on taking the symptoms from the user and with the help of those symptoms the user will be able to find whether they are suffering from this silent disease i.e. Parkinson's disease or not. We will be applying machine learning and artificial intelligence in our project which will be helping us to increase the accuracy of our project. We will be trying to make our project more compatible with all devices in future

Pages: 415 - 418