AI-Powered Medical Image Analysis System

Project Overview

This project is an AI-based medical imaging system that analyzes chest X-ray images and detects Pneumonia using Deep Learning.

The system simulates a real-world healthcare AI tool that can assist doctors in diagnosing diseases faster and more accurately.

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Objective

• Build an AI system to analyze medical images
• Detect diseases (Pneumonia vs Normal)
• Provide real-time predictions via API & UI
• Create a portfolio-ready industry-level project

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Industry Relevance

AI-powered medical imaging is widely used in:

• Hospitals
• Diagnostic labs
• Radiology centers
• Health-tech companies

Why it matters:

• Faster diagnosis
• Reduced human error
• Early disease detection
• AI-assisted decision making

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Dataset

This project uses Chest X-ray dataset.

Download from: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

After downloading, place it like:

data/ └── chest_xray/ ├── train/ ├── test/

Tech Stack

Core Technologies:

• Python
• TensorFlow / Keras
• OpenCV
• NumPy
• Matplotlib

Backend:

• Flask API

Frontend:

• Streamlit (Interactive UI)

Evaluation:

• Accuracy
• Confusion Matrix

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Project Structure

AI-Medical-Image-Analysis/
│
├── data/                  # Dataset (train/test images)
├── models/                # Trained model (.h5)
├── outputs/               # Saved predictions + history
├── src/
│   ├── model.py           # CNN model
│   ├── train.py           # Training script
│   ├── predict.py         # Local prediction script
│
├── app.py                 # Flask API
├── ui.py                  # Streamlit UI
├── requirements.txt
├── README.md