Marble Defection App
This application of detecting defect on marble is an example of how deep learning can be implemented to Industrial Business like Lime Stone Manufacturers. Fragile material experiences a lot damage during process and consumption of electricity on already wasted material is just extra waste.
vision keras CNN Defection Marble
Finding Jet's R.U.L App
The main aim of this post is to document my implementation of a model that can be used to perform predictive maintenance on commercial turbofan engine. the predictive maintenance approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. to be specific, the project aim is to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine based on run-to-failure data of a fleet of similar jet engines.
keras LSTM jet life RUL
Heart Disease Prediction App
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease. This project will utilize a dataset of 303 patients and distributed by the UCI Deep Learning Repository.
keras Sensors medical heart disease