Prognostica

Overview

Prognostica is a Flask-based web application designed for medical ailment classification. The app takes symptom data as input and predicts the likely disease using a Naive Bayes classifier. It leverages a dataset containing various symptoms and corresponding diseases, providing quick and accurate predictions.

Features

• Naive Bayes Classification: The app uses a Multinomial Naive Bayes model for disease prediction based on the provided symptoms.
• Flask API: The application provides a RESTful API endpoint (/predict) to accept symptom data and return disease predictions in JSON format.
• Data Handling: The app processes and cleans the data, filling in missing values and preparing it for the model.

Installation

Step-by-Step Guide

1. Clone the repository:

   git clone https://github.com/yourusername/prognostica.git
   cd prognostica

2. Install the required Python packages:

   pip install -r requirements.txt

3. Place your symptom dataset in the root directory as csvfile.csv.

4. Run the application:

   python server.py

   The app will start running on the local server (192.168.43.204) at port 5051.

Usage

API Endpoint

• POST /predict: This endpoint accepts a JSON object with the key "data" containing a list of symptoms.

  Request Example:

  {
      "data": ["fever", "cough", "headache"]
  }

  Response Example:

  {
      "disease": "[Malaria]"
  }