Navya Bajwa

About

I’m a fourth-year Computer Science student passionate about artificial intelligence, with a focus on computer vision and medical AI applications. This year, I'm excited to dive deeper into advanced CS coursework and research.
You can find my resume here.

Projects

1. Gesture Controlled Snake Game

   Built a hand-gesture controlled Snake game in Python using OpenCV and MediaPipe to track hand movements in real time and translate gestures into game controls.

   • Python
   • Computer Vision
   • OpenCV
   • Mediapipe

2. Pulse - Ambulance Demand and Allocation

   Developed an ambulance demand predictor and allocation system for Toronto EMS using the city's historical paramedic incident data. The demand predictor was trained using an XGBoost model and K-Medoids clustering was used for allocation suggestions.

   • Python
   • Machine Learning
   • Geospatial Analysis

3. Blood Cell Detection and Classification

   YOLOv10-based object detection model trained with the Blood Cell Detection dataset. The model classifies WBCs, RBCs, and platelets.

   • Python
   • YOLOv10
   • Computer Vision

4. Text Recognition Dictionary

   Built an iOS dictionary app in Swift using the vision framework for OCR to extract words from images, with REST API integration for retrieving definitions.

   • Swift
   • OCR
   • Computer Vision

5. Foodinator

   Developed a full-stack recipe recommendation application using React, Typescript, and the Spoonacular API. It allows users to discover recipes based on available ingredients.

   • Full Stack
   • React
   • Typescript
   • Tailwind CSS

Experience

1. Undergraduate Research Student July 2026 - Present

   Perk Lab, Queen's University

   Currently, I am working on my undergraduate honors thesis at the Laboratory for Percutaneous Surgery. My thesis involves applying computer vision to video-based surgical skill assessment in cataract surgery.

2. Machine Learning Intern May - June 2026

   AI4Good Lab, Vector Institute

   Selected as 1 of 25 students for the AI4Good Lab's Toronto Cohort, hosted at the Vector Institute, where I received hands-on training in machine learning topics including CNNs, RNNs, NLP, and reinforcement learning. As part of the program, I developed an applied ML project focused on ambulance resource allocation for Toronto, which my team presented at Mila in Montréal.

Research Interests

Computer Vision

AI Safety

Medical AI