Pneumonia Analysis

Overview

This project is a web-based application designed to raise awareness about pneumonia and provide an AI-powered tool for analyzing chest X-ray images. The tool uses a Teachable Machine model to predict potential pneumonia indicators from uploaded images or live webcam input.

Features

• Pneumonia Information: Learn about pneumonia, its symptoms, risk factors, and prevention methods.
• Image Analysis: Upload a chest X-ray or CT scan image or use your webcam to analyze the image for potential pneumonia indicators.
• AI-Powered Predictions: The application uses a pre-trained Teachable Machine model to provide predictions.
• User-Friendly Interface: Simple and intuitive interface for easy navigation and usage.

Technologies Used

• Frontend: HTML, CSS, JavaScript
• AI Model: Teachable Machine (TensorFlow.js)
• Libraries:
  • Teachable Machine Image Library
  • TensorFlow.js

How It Works

1. The user navigates to the Image Analysis section.
2. The user can either:
   • Upload a chest X-ray or CT scan image.
   • Use their webcam to capture a live image of a chest X-ray or CT scan.
3. The application processes the image using the Teachable Machine model.
4. The results are displayed, showing the likelihood of pneumonia indicators.

Setup Instructions

Prerequisites

• A modern web browser (e.g., Chrome, Firefox, Edge).
• A working webcam (optional, for live analysis).

Steps to Run the Project

1. Clone the Repository:

   git clone https://github.com/Rudramani1/pneumonia-analysis.git
   cd pneumonia-analysis