Hey, I'm Akreti 👋
I'm an 1A Computer Science student at the University of Waterloo interested in software engineering, AI, and biomedical technology. I enjoy building systems that combine technology and real-world applications.
Education
University of Waterloo
Bachelor of Computer Science (Honours), Co-op
St. Augustine Catholic Secondary School
Ontario Secondary School Diploma
My Experience
Programming Research Intern @ Sunnybrook Research Institute
Developed Python software for focused ultrasound research, including automated coordinate generation and visualization for a fluid dispensing system. Built data processing and visualization tools for Radiation Force Balance measurements using NumPy and Matplotlib.
Assistant Teacher @ Spirit of Math
Support students from Kindergarten to Grade 11 through one-on-one instruction while assisting teachers with classroom management and student progress.
App Development Scholar @ Kode With Klossy
Completed Kode With Klossy's mobile development program and built Care Comrade, an emergency assistance app using Swift and Xcode.
My Projects
Needy
AI inventory assistant built at Hack the North 2026 that combines voice, computer vision, and procurement. Uses OMNI and a Luxonis OAK camera to identify missing items, compare prices across four retailers, and create Zip purchase requests with automated vendor selection.
Goodminton
AI-powered badminton match analyzer built at Ignition Hacks V6. Uses computer vision with YOLO and motion tracking to detect shuttlecock movement, track rallies, and update scores in real time. Features a Next.js + Tailwind scoreboard UI with WebSocket streaming.
EchoLens
Assistive smart glasses prototype using YOLOv5 for real-time object detection and a Wio Terminal light sensor to simulate ultrasonic distance sensing built at Design Like a Girl 2025. Audio feedback delivers spatial awareness to visually impaired users. Built with Python, YOLOv5, and Wio Terminal.
NutriMind
AI-powered recipe platform delivering personalized meal plans using RAG with LangChain and Gemini, trained on 500K+ recipes. Built with Next.js, TypeScript, PostgreSQL, and Redis, featuring a GraphQL API and a responsive, animated UI.
GaiaIntel
Mobile app that educates users on AI’s role in climate change through facts, quizzes, eco-action checklists, and an interactive chatbot. Designed to promote sustainable habits using engaging, personalized content.
Care Comrade
Emergency assistance app offering step-by-step solutions to common crises. Built with Swift in Xcode, focusing on intuitive design, quick accessibility, and reliable performance.
Yelp Business Data Finder
Python tool that queries the Yelp API to find and export up to 1000 business listings matching a keyword, supporting pagination and CSV export for analysis or website integration.
