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Hi, I'm Grace Cavarretta- a Computer Science student at the University of Florida passionate about building thoughtful software at the intersection of engineering, data, and user experience. I have worked on everything from AI-powered systems to scalable web applications.
StormEye
Disaster response application that provides users with real-time weather conditions, evacuation routes, and shelter information.
React, Bootstrap, Node, Express, MongoDB, Agile
DS'aers Maze
Maze generation game that displays BFS and DFS algorithms.
HTML, CSS, JavaScript
CrySense
AI-enabled IoT device that classifies infant cries, alerting parents to specific needs.
Arduino, C, Python, TensorFlow
Magic Wand
Gesture-controlled, "Magic Wand", that wirelessly operates physical devices.
ESP32, C, Python, Autodesk Fusion
Study Automator
Work in progress..
More to come!
Contributions: Frontend & Scrum Master
Built a responsive React UI for real-time disaster data and led Agile sprints to deliver features efficiently.
Contributions: Frontend
Built the interactive UI and algorithm visualizations, focusing on clear step-by-step playback and smooth user interaction.
Contributions: Machine Learning
Developed an end-to-end system combining embedded hardware and machine learning, including data collection, model training, and real-time inference on an IoT device.
Contributions: Machine Learning, Bluetooth Communication, & 3D Printing
Developed the gesture-recognition logic using sensor data, contributed to Bluetooth communication for transmitting commands, and designed and printed the physical enclosure using 3D printing.
Github
Demo
Devpost (Demo)