You will get a Web Application "Med Assist AI" which classify 14 chest X-rays diseases.
Project details
Healthcare practitioners face more challenging problems each day when it comes to changes in health care should be observed. This project: Med Assist-AI, is intended to be an innovation optical aid since improved diagnostic power is required urgently and decision-making procedure has to be less complicated. Med Assist-AI is envisioning transforming the diagnostic process for better navigation health care today by coming up with an advanced but easy-to-use system. The intention of our project is to offer an unusual tool chest X-ray analysis made for radiologists allowing them to be quick and correct at the same time. Consequently, this software will also allow up-to-date technologies to be easily used in diagnostics. This study displays a model that can recognize 14 different chest diseases automatically from chest x-ray images. These conditions include Effusion, Cardiomegaly, Emphysema, Nodule, Pneumonia, Pleural Thickening, Hernia, Fibrosis, Infiltration, Pneumothorax, Edema, Mass, and Atelectasis.
****Project Vision****
Our vision is to offer medical practitioners’ cutting-edge tool that is user-friendly but sophisticated enough to improve the accuracy of diagnosis using AI.
****Project Vision****
Our vision is to offer medical practitioners’ cutting-edge tool that is user-friendly but sophisticated enough to improve the accuracy of diagnosis using AI.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, DesignWhat's included $450
These options are included with the project scope.
$450
- Delivery Time 2 days
- Number of Revisions 1
- Number of Pages 4
- Responsive Design
- Source Code
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Fast 1 Day Delivery
+$5
Report
+$5
Presentation
+$10
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Sara T.
Jan 15, 2026
Project Pipeline — Automatic Detection of Pulmonary Diseases from Chest X-ray Images
About Muhammad
Python Machine Learning Expert Crafting Intelligent Solutions
Islamabad, Pakistan - 3:05 pm local time
🔍 With expertise in creating predictive models and harnessing data's potential, I've successfully crafted solutions that matter. One of my standout projects is the "Fake News Detector," where I employed advanced techniques to sift through information and identify authenticity.
🌱 Additionally, I've developed a cutting-edge "Potato Leaf Disease Detection and Diagnosis System," contributing to agricultural sustainability. Leveraging Machine Learning, I enabled early disease identification, aiding farmers in making informed choices.
đź©ş My engagement in "Medical Imaging Projects" underscores my commitment to improving healthcare. By developing algorithms for image analysis, I've assisted medical professionals in accurate diagnostics and treatment planning.
🏆 These accomplishments are backed by my educational foundation in Computer Science, providing me with a strong understanding of the core principles of Machine Learning.
đź“Š Join me in harnessing the power of data to unlock solutions that make a difference. Let's connect and explore the endless possibilities that Machine Learning offers! Your next project deserves nothing but the best, and I'm here to deliver.
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