Projects

Employee Management System

This was my first full-stack project built from the ground up — a web-based employee management system designed to handle employee records, roles, and company data. It features user authentication, admin/employee role separation, and full CRUD functionality for managing employees and related information.

Backend: Developed with Python using the Flask framework, structured around RESTful principles
Database: Integrated PostgreSQL for reliable data storage and management
Frontend: Built using HTML, CSS, and JavaScript to provide a clean and responsive user interface
Authentication: Implemented secure login with role-based access control
Problem-Solving: Used self-guided learning and AI assistance to overcome roadblocks and debug complex logic

View Source Code on GitHub

Personal Portfolio Website

I built this website from scratch to showcase my background, projects, and journey into software development. It reflects my commitment to continuous learning and serves as a central hub for my work.

Tech Stack: Python (Flask), HTML, CSS, JavaScript
Structure: Utilizes Flask templating for reusable layouts and routes for each section
Design: Responsive design with a carousel image reel, navigation bar, and project cards
Purpose: A personal site to present my skills, resume, and ongoing growth as a developer

View Source Code on GitHub

Hand Signal Recognition System for Construction Safety (In Progress)

I'm currently building a computer vision system using Convolutional Neural Networks (CNNs) to detect standardized hand signals used by spotters in construction zones. The goal is to enhance communication and safety when working around heavy machinery.

Tech Stack: Python, TensorFlow/Keras, OpenCV
Approach: Image classification using CNNs trained on a custom dataset of hand signals
Challenge: Currently working to improve training accuracy and reduce model overfitting
Impact: Aims to support safer job sites through automated gesture recognition