Parkinson's Detection Web Application

This web application built with Flask uses machine learning to predict whether a user has Parkinson's disease based on their input data.

Features

• User Input Form: Allows users to enter relevant medical data.
• Prediction Page: Generates a webpage displaying the prediction result.
• Responsive Design: Designed to work seamlessly on desktop and mobile browsers.

Technologies Used

• Flask: Python web framework for backend development.
• Machine Learning: Predictive model trained on medical data.
• HTML/CSS: Frontend design and styling.

Installation

1. Clone the Repository

   git clone https://github.com/Bhagy3sh/parkinsons_app.git
   cd ./api/

2. Install dependencies

pip install -r requirements.txt

3. Running App

   python app.py

This directory is for deployment purpose in Render. You may not need the exact directory when cloning and testing the app for yourself.