A multiple disease detector web-application that predicts covid, diabetes, parkinson's disease and heart disease using various machine learning algorithms. It is deployed on streamlit. To run locally:

Download the zip file Run the mdpsystem.py folder using command streamlit run mdpsystem.py To run on streamlit cloud, check the link below

https://multiplediseasedetector.streamlit.app/

This paper proposes a Multiple Disease Detector is a web based application for predicting humans long term illnesses like Diabetes, Heart Disease, Parkinson's Disease,...etc, combined with Machine Learning(ML) and Python for creating this useful web-application project. The goal is to help people to check their health if they want, it checks if they are affected with chronic diseases or not? without having a formal consultation with a doctor. And it is easier to access to anyone worldwide, more friendly to use and an organised user-friendly interface(UI).

The Machine Learning(ML) project involves the use of a user or active dataset and it gives more accurate values while the users input the information about their condition. Users can directly access the web-application by using browsers with any devices. The Multiple Disease Detector offer features such as early detection of diseases, information of diseases and worldwide access of site. Users can individually check the detector for predicting disease by entering the given blanks.

To address the diseases, ML techniques are validating the entered details with the help of a pre-trained dataset and after validation, the system gives the accurate answer. For each disease, the web-page includes some blank boxes related to that disease. Once the users fill the blank boxes with valued details, it displays the one-line result by clicking the "submit" button.

By combining Machine Learning(ML), this implementation aims to increase the accuracy of the results for finding the real-time input. And this system gives beware of diseases to users and makes an alert/care about the precautions to prevent the dangerous situation