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Pneumonia detection from X-ray images, 92% validation accuracy, cloud-deployed.

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KYash03/Flask-CNN-Project

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CNN-Based Pneumonia Detection Web App

Overview

This project is a Python-based web application for detecting pneumonia from X-ray images. Key technologies include Flask, Keras, and PyTest. The app achieves a 92% validation accuracy and is hosted on Google Cloud Platform's App Engine.

Features

  • Pneumonia Detection: Detects pneumonia in X-ray images.
  • Flask Web App: User-friendly interface built with Flask.
  • PyTest Testing: Rigorously tested for reliability.
  • GCP App Engine: Deployed on Google Cloud Platform.

How It Works

  1. Upload an X-ray image.
  2. The app's custom CNN model analyzes the image.
  3. Get a diagnosis: presence or absence of pneumonia.

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Pneumonia detection from X-ray images, 92% validation accuracy, cloud-deployed.

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