About this document

Disease Prediction Web-App Report by Assy Glenda is a document available to read on EtoBox.

- The document describes a senior year project report on building a disease prediction web app using machine learning. - The project involved training machine learning models on four diseases using datasets from Kaggle and implementing a web app using Django framework that allows doctors to predict diseases based on entered symptoms. - The web app uses models like logistic regression, neural networks and support vector machines trained on the four disease datasets to make predictions which are displayed to

Author

Assy Glenda

Language

EN