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A Flask-based ML application that predicts blood groups using fingerprint images. It integrates a TensorFlow (Keras) model with 89% accuracy, featuring user authentication, database management with Flask SQLAlchemy & SQLite, and a frontend built using flask. 🚀
Solution of the Titanic Kaggle competition: Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.