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This application detects blood groups using fingerprint analysis. It is powered by a machine learning model trained on a dataset of fingerprints from individuals with different blood types. The front end is built using Flask, with Python handling the backend and model integration.

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dazzal-david/blood-group-using-fingerprint

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blood-group-using-fingerprint

This application detects blood groups using fingerprint analysis. It is powered by a machine learning model trained on a dataset of fingerprints from individuals with different blood types. The front end is built using Flask, with Python handling the backend and model integration.

TO Run,

Install Python 3.10 (as newer versions is not supporting Tensorflow as of now)

Install All Dependencies

pip install flask tensorflow numpy pillow

(tensorflow version 2.10 might be required)

Run

python -m app

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This application detects blood groups using fingerprint analysis. It is powered by a machine learning model trained on a dataset of fingerprints from individuals with different blood types. The front end is built using Flask, with Python handling the backend and model integration.

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