Day one of reimagining Grey’s @greyfinance mobile app!
As a Flutter dev (and loyal Grey user), I’m working on a fresh, intuitive redesign — inspired by the amazing Grey UI team.
It’s still WIP, but I'd love to someday join Grey and help take user experience even further.
This is a banking web application that uses multiple authentication system. The authentication systems are text password, face recognition, image click Verification and fingerprint recognition. This project will definitely increase security in the banking system
The size of the dataset can greatly determine the performance and accuracy of your model. After getting your data, it is auspicious you preprocess it to remove inconsistencies
Research has shown that everyone has a unique pose which is known as gait. The use of nose mask can be used for criminality and since it covers the face it is difficult many times to know the culprit which makes the face recognition system unreliable.
This model can predict heart related diseases. This model uses deep learning techniques like CNN and LSTM. 30% of the dataset was used for testing and 70% for training. CNN achieved an accuracy of 95.5% and LSTM 90.00%.
It takes so much time for doctors to know an ailment or the cause of the ailment. Machine learning takes those data and train it into a model and in this video, a model was trained to predict heart related diseases.
The way a child is trained and the environment the child comes from truly determines the outcome of a child. It is expedient that parents not only pay attention to their children but also make sure they are rooted in Christ Jesus which is our firm foundation. Happy Children's Day
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