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Pneumonia Detection From Chest X-ray Image

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Pneumonia Detection From Chest X-ray Image

Deep Learning

Pneumonia Detection System is a deep learning-based web application developed to detect pneumonia from chest X-ray images. The system uses a Convolutional Neural Network (CNN) built with TensorFlow/Keras to classify images as Pneumonia or Normal. Users can upload an X-ray image through a Flask web interface, where it is preprocessed using OpenCV before being analyzed by the trained model.

The application displays the predicted result along with a confidence score, providing a fast and user-friendly solution for AI-assisted pneumonia screening. The project is built using Python, TensorFlow, Flask, OpenCV, HTML, CSS, and Bootstrap.

What's Included in Your Project Bundle
Synopsis
Overview of the project objectives and scope
Project Report
Complete documentation with implementation details
Presentation
Ready-to-present PowerPoint slides
Viva Questions and Answers
Frequently asked viva questions with answers
User Manual
Step-by-step installation and usage guide
Code
Complete source code with comments
Applicable For B.Tech, BCA, MCA, M.Tech

Tags: Medical Imaging, CNN, X-ray Analysis, Pneumonia Detection, Healthcare,

Testimonials

"This is one of the best deep learning projects for students interested in medical AI. The application is easy to understand, performs well, and effectively showcases the use of CNNs for image classification."

Sana Qureshi
AI Product Consultant

"The code is clean, modular, and easy to customize. Uploading an X-ray image and receiving an instant prediction demonstrates the real-world potential of AI in healthcare."

Ritesh Malhotra
Software Solutions Architect

"The project combines TensorFlow, OpenCV, Flask, and image preprocessing into a complete solution. It provided me with valuable practical experience in building AI-powered medical applications."

Anjali Desai
Computer Vision Specialist

"I was looking for a healthcare-focused AI project, and this one exceeded my expectations. The confidence score and clean interface give the application a professional feel."

Devansh Sethi
Machine Learning Consultant

"The workflow from image upload to prediction is very well designed. The application clearly explains how AI can assist in pneumonia screening, making it ideal for academic presentations."

Prof. Kavita Rao
Faculty Advisor

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