Hi, I'm Yassine Yandouzi
Computer Engineering Student
Passionate about building innovative AI,robotic systems, embedded systems and creating innovative solutions to real-world problems.
About Me
My Journey in Computer Engineering
I'm currently pursuing my Bachelor's degree in Computer Engineering at the university of Ottawa, with an expected graduation date of April 2028. My coursework has provided me with a strong foundation in both hardware and software aspects of computing systems.
I developed a passion for technology early in high school when I built my first python line of code. Since then, I've been fascinated by how hardware and software work together to create powerful systems that can change the world.
When I'm not studying or coding, you can find me participating in hackathons, contributing to open-source projects, or practicing all kinds of sports.
My Projects
NHL betting odds calculator
Designed and implemented a real-time betting application for NHL games using Python (Sk-learn), integrating live game data using API's and multi linear regression.
Live Bus Tracker
Created a web-based application leveraging web scraping to track and display real-time bus data, enhancing usability by providing an average load time reduction of 20% compared to similar tools. The code is not available on GitHub due to privacy concerns, but the project showcases my skills in web scraping and data visualization.
AI Sentinel
• Spearheaded the development of a real-time AI detection platform capable of identifying AI-generated images, videos, and text across mobile apps and browser environments. • Designed and implemented user-configurable detection settings, allowing granular control over which applications trigger AI analysis, inspired by iOS-style privacy toggles. • Integrated pre-trained AI models and local inference engines using Python, TensorFlow Lite, and JavaScript (TensorFlow.js), ensuring fast, secure on-device processing with minimal latency. • Addressed cybersecurity and privacy concerns by prioritizing local data processing, encrypted storage, and GDPR-compliant consent mechanisms. • Built a scalable backend API for optional cloud-based detection, leveraging FastAPI and Docker, with robust logging, rate-limiting, and token authentication *** The code is not available on GitHub due to privacy concern. It is a personnal startup idea that I am working on.
Technical Skills
Programming Languages
Hardware & Embedded
Web & Mobile
AI/ML
Software Tools
Soft Skills
Get In Touch
Contact Information
Feel free to reach out to me for any questions, project collaborations, or intership!
Location
Ottawa, ON, Canada