• The goal of the LTC-TMS project is to digitize the LTC staff’s work by increasing resident monitoring efficiency, implementing efficient hierarchical communication, and increasing work productivity for Long Term Care Centres. This is achieved by integrating three subsystems, namely APP, Browser, and Hardware, that work together seamlessly.
• For this project I was the team leader of the APP group and we have accomplished to implement these key features into our application,
Nursing Assistant Accounts:
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Create/View Resident Daily Status
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Resident Accounts:
View Task Instructions
View Resident Portfolio
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View Personal Daily Status
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• This project has been made for Special Case class and it demonstrates a simple memo system that supports 3 different languages which backes up everything with Google's Firebase database to save your messages. Simply fill in the blanks and click send button :)
•This project is a modified version of Daniel Shiffmans "Tic Tac Toe AI" game for Artificial Intelligence class and it demonstrates a fully functional Tic Tac Toe game that uses recursive Minimax algorithm for the opponent AI player. Simply click the empty positions to play the game!
• Deep Learning with Python, TensorFlow, and Keras that uses MNIST database to recognize handwritten digits running on Google Colab. In this example it runs on 5 epochs and has about 97% accuracy but activation functions and other attributes can be modified to increase accuracy. To run, simply press Shift+ENTER on each cell from the beginning!