PulmoScan AI

AI-Powered Pneumonia Detection using Deep Learning

PulmoScan AI is a modern AI-powered web application that detects Pneumonia from Chest X-ray images using a trained Deep Learning model. The application provides confidence scores, probability visualization, AI-generated reports, and a clean medical dashboard built with Streamlit.

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Features

• AI-powered Chest X-ray analysis
• Deep Learning prediction
• Upload JPG, JPEG and PNG images
• Confidence score visualization
• Probability distribution
• Medical report generation
• Download report
• Premium dark medical dashboard
• Responsive Streamlit interface

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Tech Stack

Technology	Purpose
Python	Programming Language
TensorFlow	Deep Learning
Keras	CNN Model
NumPy	Numerical Processing
Pillow	Image Processing
Streamlit	Web Application
Git	Version Control
GitHub	Repository Hosting

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Application Workflow

Chest X-ray Image
        │
        ▼
 Image Preprocessing
        │
        ▼
 Deep Learning Model
        │
        ▼
 Prediction
        │
        ▼
 Normal / Pneumonia
        │
        ▼
 Confidence Score
        │
        ▼
 Report Generation

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Application Screenshots

Home

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Normal Prediction

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Normal Prediction (Example 2)

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Pneumonia Prediction

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Pneumonia Prediction (Example 2)

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Model Information

• Framework : TensorFlow / Keras
• Classification : Binary Classification
• Input : Chest X-ray Images
• Output :
  • Normal
  • Pneumonia

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Installation

Clone the repository

git clone https://github.com/rarunkumar2307/Pneumonia.Detection.System_DEEP-LEARNING.git

Move into project

cd Pneumonia.Detection.System_DEEP-LEARNING

Install dependencies

pip install -r requirements.txt

Run application

streamlit run app.py

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Folder Structure

📂 app.py
📂 inference.py
📂 train_model.py
📂 pneumonia_model.h5
📂 screenshots
📂 sample_images

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Future Improvements

• DICOM Support
• Explainable AI (Grad-CAM)
• PDF Report Export
• Multi Disease Detection
• Cloud Deployment
• Doctor Dashboard
• User Authentication
• REST API

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Author

Arun Kumar

Bachelor of Technology (Information Technology)

BACKEND DEVELOPER - JAVA

GitHub

https://github.com/rarunkumar2307

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License

This project is licensed under the MIT License.

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