Disease Prediction using Machine Learning

This repository contains a machine learning-based disease prediction system implemented using Python. The project uses the Tkinter library for the GUI and employs a machine learning model trained on a dataset to predict potential diseases based on user input.

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Project Description

This project aims to predict diseases based on symptoms entered by the user. The user-friendly interface is created using the Tkinter library, and the machine learning model is trained using a dataset of symptoms and diseases (in CSV format). The system provides probable disease predictions based on the input symptoms, helping in early detection and healthcare guidance.

Key features include:

• Tkinter GUI for an intuitive interface.
• Machine learning model trained to predict diseases based on symptoms.
• CSV dataset containing symptom-disease mappings.

Files Included

• Jupyter Notebook: Contains the code for training the machine learning model and building the disease prediction system.
• Dataset (CSV): A CSV file containing the dataset used for training the model (symptoms and associated diseases).
• Tkinter GUI: Code for building the graphical user interface to interact with the disease prediction system.

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Installation

If you don’t have Python installed, download and install it from the official Python website.
You can download Anaconda, which comes with Jupyter pre-installed, from the following official website.

To run the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/SPPramod/Disease-Prediction.git

2. Navigate to the project directory:

   cd Disease-Prediction

3. Install the required dependencies:

   pip install tkinter

4. Launch the Jupyter Notebook to view and run the machine learning model code:

   jupyter notebook

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Usage

1. Run the Jupyter Notebook to train the machine learning model and evaluate its performance on the dataset.
2. Use the Tkinter-based graphical user interface to input symptoms and receive disease predictions.
3. Analyze the results and adjust the model or dataset as needed to improve prediction accuracy.

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Clone the Repository

To clone this repository, run the following command:

git clone https://github.com/SPPramod/Disease-Prediction.git