Projects

Applied AI Systems Project

This project combines two AI-based applications designed to support small-business operations: an AI inventory tracker and an AI receptionist. The goal is to explore how AI can be integrated into everyday workflows in a way that is practical, understandable, and useful.

AI Inventory Tracker

I developed an AI-assisted inventory system intended to help businesses record, organize, and monitor inventory information more efficiently. The project focuses on converting natural-language updates into structured inventory data and making it easier to understand current stock levels.

Engineering competencies: Problem Analysis, Design, Use of Engineering Tools, Communication Skills, and Professionalism.

Reflection: This project taught me that AI becomes valuable when it reduces friction in a real process. I learned that the model output alone is not enough; the system also needs clear data structures, validation, error handling, and an interface that users can trust. This experience is helping me work toward my AI goals by teaching me how to connect intelligent input with reliable software and useful business decisions.

AI Receptionist

I built a conversational AI receptionist for small businesses that can answer calls, respond to common questions, collect customer information, manage corrections, and support appointment booking. The system required voice communication, intent handling, workflow logic, external service integration, and attention to response speed and user experience.

Engineering competencies: Design, Problem Analysis, Investigation, Use of Engineering Tools, Communication Skills, and Professionalism.

Reflection: Building the receptionist taught me that conversational AI must do more than generate a correct response. It must listen carefully, recover from misunderstandings, return to the user’s goal, and communicate clearly enough to earn trust. I learned to evaluate the system from the user’s perspective rather than only from the code. This is directly helping me prepare for a career in AI because it has given me experience designing human-centred intelligent systems for real-world use.

FPGA Four-Bit Binary Calculator

I designed and implemented a four-bit binary calculator in Verilog using Boolean algebra, combinational logic, sequential logic, and seven-segment display control. I verified the design through simulation and FPGA testing on the DE10-Lite platform.

Engineering competencies: Knowledge Base for Engineering, Problem Analysis, Design, Investigation, and Use of Engineering Tools.

Reflection: This project taught me how high-level operations are built from precise low-level logic. I learned to divide a complex system into smaller modules, verify each part through simulation, and debug differences between expected and physical behaviour. This foundation supports my AI goals because intelligent systems ultimately depend on digital hardware, data representation, and reliable computation.