Heart Sound Detection with ML
We developed a diagnostic tool using a digital stethoscope and CNN-based classifier to detect irregular heartbeats from audio input. Built dual dashboards for patients and doctors to analyze results and review uploaded recordings.
Tech Stack: Python, TensorFlow, Streamlit, NumPy, Matplotlib
Team Members: Hamza Jalil, Issac Mohabbat, Harry Wang, Timo Aranjo, Lingfeng Li
Battleship Game
This project is a Python-based implementation of the classic Battleship board game. This project demonstrates key concepts in software engineering, such as modularity, user interface design, input validation, and turn-based gameplay. It is designed to provide an engaging experience with clear game logic and visual feedback.
Tech Stack: Python
Team Members: Hamza Jalil, Timo Aranjo, Lingfeng Li, Isaac Mohabbat, Harry Wang
Sentinal Dart
Sentinel Dart X was a fully custom-built robotics project designed and assembled from the ground up by our team. We engineered the entire system hardware and software, combining mechanical fabrication, electronics integration, and autonomous behavior. Our robot featured a motorized chassis, onboard sensors, and a relay-controlled automated dart launcher. We used C++ for embedded control logic (such as servo handling and movement routines) and Python for high-level behaviors including targeting sequences, timing controls, and remote triggers. We wired and programmed relays to interface safely with the Nerf gun’s firing mechanism, allowing for coordinated attacks based on programmed conditions. The project emphasized teamwork across hardware design, software integration, and live testing in competitive scenarios.
Tech Stack: C++, Python, Arduino IDE, Custom Relay Circuitry, Breadboarding, Embedded Systems
Team Members: Hamza Jalil, Timo Aranjo, Lingfeng Li, Isaac Mohabbat, Harry Wang
IC Image Pin Isolation with AI
Our team created a preprocessing pipeline and machine learning model to isolate and detect pin locations from microscopic IC images. This project contributed to improving IC inspection automation for security applications.
Tech Stack: Python, OpenCV, Scikit-learn, NumPy, Matplotlib
Team Members: Hamza Jalil, Carter Bullis, Seamus Herrod
Shine Wash Solutions
a team-built SQL database application designed to support a car wash business operating on a subscription-based model. The system allowed customers to register their vehicles, choose subscription plans, and manage their account details, while giving administrators the tools to manage client data. We developed a fully relational database using MySQL, designed with normalization and security in mind. The admin dashboard allowed for CRUD operations—adding, updating, and removing customer records and subscription tiers. Our schema handled customers, vehicles, plans, and payment tracking with appropriate foreign key relationships and constraints. This project emphasized database design best practices, query optimization, and user role control, all while simulating a real-world SaaS-style business mode.
Tech Stack: HTML/CSS, SQL
Team Members: Hamza Jalil, Sammual