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I created a model and converted its weights to a tflite file for Android integration. After obtaining user information, I utilized the model to make predictions tailored to the user's input.

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.idea		.idea
Files		Files
app		app
gradle/wrapper		gradle/wrapper
.gitignore		.gitignore
README.md		README.md
build.gradle		build.gradle
gradle.properties		gradle.properties
gradlew		gradlew
gradlew.bat		gradlew.bat
settings.gradle		settings.gradle

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HeartFailurePrediction_ML

Weight Generation: https://www.kaggle.com/naimur978/heart-failure-prediction-tflite
Demo Link: https://youtu.be/DzlNgLpF6xc

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I created a model and converted its weights to a tflite file for Android integration. After obtaining user information, I utilized the model to make predictions tailored to the user's input.

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