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Predict underlying disease by providing symptoms using Machine Learning Algorithms

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sharmas1ddharth/Disease_Prediction

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Disease Prediction

Predict underlying disease by providing symptoms.

Project Organization

├── LICENSE
├── README.md               <- The top-level README for developers using this project.
├── data                    <- Data from third party sources
│
├── models                  <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks               <- Jupyter notebooks. Naming convention is a number (for ordering),
│                               the creator's initials, and a short `-` delimited description, e.g.
│                               `1.0-jqp-initial-data-exploration`.
│
├── requirements.txt        <- The requirements file for reproducing the analysis environment, e.g.
│                               generated with `pip freeze > requirements.txt`
│
├── model_and_symptoms.py   <- This file contains trained model, symptoms list and diseases name.
├── app.py                  <- Main file of flask deployment
├── static                  <- Folder containing 'css stylesheets' and other static files.
├── templates               <- Folder contrains 'HTML Templates'.