Wesil Said

I am a social, multilingual, self-driven and committed computer science student with a big interest in problem solving and partaking in challenges. I love working with others and learning from their experiences and applying it to my life goals.

• Trip Planner, Toronto, ON, 09/24, 10/24, An AI application that lets user organize vacation trips with dates and side notes., Includes a front end using React and a backend using TypeScript., Has AI implementation using a tool named Squid AI., Can be presented to users as a full application.
• The Bin Buddy, Toronto, ON, 08/24, Created a full stack web application that users can consult to dispose of their waste appropriately., Using TensorFlow and Keras to build a machine-learning model designed for computer vision and image classification., Three layers of convolutional neural networks and training set of 200 images were used for an accurate classification., We used Python Flask for the server side and back end, and we finished off the front end with HTML and CSS.
• Stock Prediction, Toronto, ON, 10/23, 12/23, Developed a stock prediction web application that shows raw data of a stock with graphs representing its changes., Used tools like streamlit to create web app., Yahoo finance to get stock data., Facebook prophet to predict stock prices in the future.

Citizenship: Canadian Citizen