Inspiration
It is always been our dream to contribute towards the medical science
What it does
The trained model predicts the type of arrhythmia from the uploaded image
How we built it
The project is a web application built with the flask framework
Challenges we ran into
The main challenge was training the CNN model to obtain a good accuracy.
Accomplishments that we're proud of
We faced a lot of struggles while developing it, we are proud that we have over-come them completed our project and provided a good output
What we learned
It was a good experience, we learned new web development strategies and neural network technologies
What's next for Arrythmia Analyzer - AI by Code Akatsuki Team-43
The step towards the project is to improve the quality of the interface and outcome. Making the project a complete package for Arrhythmia and its related consultings.
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