LungIQ: Advanced Lung Disease Detection

LungIQ is an intelligent platform designed to analyze chest X-rays and detect lung conditions, including pneumonia, COVID-19, or healthy lungs. Leveraging state-of-the-art deep learning models, LungIQ delivers fast, accurate, and reliable diagnostic results, making it an invaluable tool for healthcare professionals and individuals alike.

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Why Choose LungIQ?

• 💡 Effortless Diagnosis: Simply upload your chest X-rays for an instant and detailed evaluation.
• 🎯 AI-Powered Precision: Our deep learning models, built on CNNs, ensure accurate and trustworthy results.
• ⚡ Time-Saving Insights: Immediate diagnosis allows for timely medical attention and better outcomes.
• 📖 Comprehensive Knowledge: Learn about your condition with detailed information on symptoms and treatment options.

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How It Works

1. Upload the X-Ray Image

Submit a clear, high-resolution X-ray image of the lungs. A good-quality image improves diagnostic accuracy.

2. AI Analysis

The image is analyzed using a deep learning model specifically trained to classify lung conditions.

3. Receive Your Diagnosis

The platform provides a detailed report showing whether the lungs are healthy, or show signs of pneumonia or COVID-19.

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Key Features

• 🎯 High Accuracy: Advanced CNNs ensure highly accurate predictions for every image.
• ⚡ Instant Results: Obtain quick results to aid in timely medical decisions.
• 📖 Disease Insights: Gain clarity on symptoms, treatments, and disease progression.

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Technologies That Power LungIQ

AI & Machine Learning Tools

Technology	Role
Python	Core programming language for building AI pipelines.
TensorFlow	Framework used for creating and training CNN models.
NumPy	Facilitates numerical operations and data preprocessing for model training.
OpenCV	Used for X-ray image processing and enhancement before feeding into the model.

Web Development Frameworks

Technology	Role
Flask	Backend framework for building the application and managing APIs.
HTML5, CSS3	Provides structure and styling for the frontend interface.
TailwindCSS	Simplifies and accelerates the development of responsive and modern UIs.

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Setup Instructions

1. Prerequisites

• Python 3 installed on your system.
• MongoDB installed and running locally.

a) Clone the Project

Clone the repository to your local machine:

git clone https://github.com/ryshel-jasmi/LungIQ.git

cd LungIQ

b) Install Python Packages

Install the necessary Python packages using pip:

pip install -r requirements.txt

Or manually:

pip install Flask pymongo opencv-python tensorflow werkzeug

c) Set Up MongoDB

Make sure MongoDB is running on your machine:

• Install MongoDB if you haven't already.
• Start MongoDB by running mongod in your terminal (or follow MongoDB's installation guide for your OS).

2. Run the Application

Run the Flask app:

python app.py

3. Open the App in Your Browser

Open your browser and go to:

http://127.0.0.1:5000/

You can now use the LungIQ web app!