Working with databases is not always a pleasant experience to do especially if we need to save small data on the go.
So I created a service tool that makes this process easy and fast for both developers and non-developing experienced people that lets users save, edit, read and export there data in different file formats such as excel, csv and more.
This tool was developed using ASP.net Core and using MongoDb to support saving generic data structures upon the user request.
Tech-stack: C#, Asp.Net core, CSS/HTML, Bootstrap, MongoDb.
Goal: Due to the constant demand and need for AI technologies in different fields, and in some of those fields we do not have enough memory to hold all the weights of the CNN model to use it in its full potential. I started researching on all of those networks starting from Alex Net to Google mobile net to many other fascinating networks and then made our own version which got to 0.13 MB memory footprint on Kaggel cats and dogs. digit dataset with 70% accuracy.
Tech-stack: Python, Keras, Tenorflow, Jupytier notebook.
Goal: Supporting a Master student in Economics who is trying to change the way of taking a survey from a boring “fill the boxes” style to her own unique way of making a little website that has a game for the survey taker and then collects the data and saves it in a database for further study. I contributed in the last part of the project for saving and exporting the data to excel and text. 09
Goal: For my 4th year in collage I wanted to build something for my own. I worked under the supervision of Dr. Eng. Samer Suliman. We worked on a simulator for different algorithms on how a processor executes instructions such as Scoreboarding and Tomsula. The simulator also shows how loops are being executed and unrolled, More features are being added to the simulator.
Tech-stack: C#, WPF, MVVM.