Automate the prediction of the final product defects causes based on decision-support-tool during the IMP (Injection Molding Process), by building different Machine learning models and compare between them.Keywords: Python3.9, Flask, Machine Learning, Classification, Random Forest, SVM, AdaBoost, XGBoost, Deep learning, ANN, RNN, LSTM, CNN+LSTM, CNN

Development of a medical web application, using AI and deep learning techniques to detect brain tumor by MRI scan.Transfer Learning by Merging of Multiple Models.Project deploymentKeywords : Deep Learning, TensorFlow, Keras, Python 3.8, Flask, CNN, VGG-16, ResNet-50, DenseNet201, InceptionV3, EfficientNetB0

Worked in project management web app to facilitate how to create and maintain projects and tasks, assign resources to tasks, and track task work and status.Keywords: Python 3.7, Django, chat box