cardioAnalyx

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Inspiration- Cardiac arrest and sudden death: Some forms of enlarged heart can lead to disruptions in your heart's beating rhythm, causing fainting or, in some cases, cardiac arrest or sudden death. Our aim is to reduce this and save peoples life.

What it does - Cardiomegaly, the enlargement of the heart, is a significant indicator of cardiac abnormalities and is crucial for early detection and treatment planning. Cardio Analyx, a web application that utilizes a deep learning model based on ResNet convolutional neural networks (CNN) to diagnose Cardiomegaly using chest X-ray images. The model is trained on a large dataset of labeled chest X-ray images, enabling it to learn complex patterns and features associated with Cardiomegaly. Through a rigorous evaluation on a separate test dataset, the model demonstrates remarkable accuracy, sensitivity, and specificity in diagnosing Cardiomegaly. Cardio Analyx empowers not only doctors but also individuals to upload their chest X-ray images for Cardiomegaly diagnosis.

How we built it - The Website is built with

Django SQLite Bootstrap CNN Resnet125

Challenges we ran into - Dataset

Accomplishments that we're proud of - Our web app is ready to use by the people and we r proud as this gonna help many people by making them aware in initial stage and make it cure . and save their life and our project is having high accuracy rate ,

What we learned - Training the model is very important

What's next for cardioAnalyx - Its Ready and with high accuracy

Built With

• bootstrap
• cnn
• django
• resnet125
• sqlite