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Disease Prediction Model

This project uses machine learning models (Decision Tree and Random Forest) to predict diseases based on symptoms. The web application is built using Flask, and users can input their symptoms to get predictions, along with relevant visualizations and information about the predicted disease.

Prerequisites

Installation

  1. Clone the repository
    Open your terminal and clone the repository using the following command:

    git clone https://github.com/neeraj-395/dpm-ml.git

  2. Create a virtual environment
    Navigate to the project root directory and create a virtual environment using make:

    make venv

    Alternatively, you can create a virtual environment manually:

    python -m venv <directory name>

  3. Install dependencies
    Run the following command to install the necessary packages:

    make build

  4. Start the application
    Use the following command to start the Flask application:

    make serve

  5. Access the application
    Open your browser and navigate to http://127.0.0.1:5000/ to access the web application.

Project Demo

Once the application is running, you can enter symptoms on the homepage and receive a prediction for the most likely disease. The result page will show:

Screencast.From.2024-10-11.22-01-21.online-video-cutter.com.mp4

Project Directory Structure

.
├── app.py
├── config.yaml
├── data
│   ├── meta
│   │   ├── disease_info.csv
│   │   └── labels.csv
│   ├── processed
│   │   ├── testing.csv
│   │   └── training.csv
│   └── raw
│       ├── testing.csv
│       └── training.csv
├── LICENSE
├── Makefile
├── models
│   ├── decision_tree_model.pkl
│   └── random_forest_model.pkl
├── README.md
├── requirements.txt
├── setup.py
├── src
│   ├── data
│   │   ├── disease_info.py
│   │   └── preprocess.py
│   ├── __init__.py
│   ├── models
│   │   ├── dp_model.py
│   │   └── train_models.py
│   ├── tests
│   │   ├── test_disease_info.py
│   │   ├── test_dp_model.py
│   │   ├── test_models.py
│   │   └── test_preprocessing.py
│   ├── utils
│   │   └── wikipedia.py
│   └── visuals
│       ├── barplot.py
│       ├── heatmap.py
│       └── piechart.py
├── static
│   ├── css
│   │   ├── 500.css
│   │   ├── common.css
│   │   ├── index.css
│   │   └── result.css
│   ├── img
│   │   ├── medical-robot.ico
│   │   └── medical-robot.png
│   └── js
│       └── index.js
└── templates
    ├── 500.html
    ├── index.html
    └── result.html

17 directories, 38 files

License

This project is licensed under the MIT License. See the LICENSE file for details.