Websites
Discover a collection of my latest web design and development projects.
KickPoint | 2022
This project creates an e-commerce site called KickPoint Sneakers. The homepage has a welcome message and the slogan, "Discover the World of Sneakers." The main menu includes Home, Testimonials, Product, Contact Us, and About Us. The site allows users to browse sneakers and access company info, reviews, and contact details. A "View More" button leads to more products. The site is built with HTML, CSS, and JavaScript for a responsive design.
GoLitech | 2023
This project creates an e-commerce site called GoLitech Gaming Gear. The homepage features a welcoming message and the slogan, "Unleash Your Gaming Power with GoLitech." The main menu includes Home, About Us, Products, Membership, and Stores. Users can browse products and access company, membership, and store information. A "Shop It Now" button directs users to make purchases. The site is built with HTML, CSS, and JavaScript for a responsive design.
BeeBook | 2024
BeeBook, developed with the Laravel PHP framework, facilitates book sharing and discovery. The main menu includes About, Forum, Read List, and Bookmark. Users can add new books, categorize them as All, Fiction, or Non-fiction, and search by title or author. The homepage features books like "Psychology of Money" by Morgan Housel. Though still in development, BeeBook promises to be a valuable resource for book enthusiasts.
MakeMeUpzz | 2024
MakeMeUpzz is a web application built on ASP.NET, designed to sell makeup and skincare products. It is created with the goal of providing an easy-to-use platform for users to purchase beauty supplies, while also simplifying product management for administrators. The application is developed using the Domain Driven Design (DDD) methodology to ensure a well-structured and scalable architecture.
CariTukang.com | 2024
CariTukang.com is a platform that connects users with skilled workers for various home services. The website provides detailed information about workers, including their identity, contact details, ratings, pricing, and the services they offer. Users can easily browse profiles, check qualifications, and hire professionals such as painters, decorators, and other tradesmen based on their needs. This website allows customers to efficiently find trusted service providers for home improvement tasks. The project was built using the Laravel framework and JavaScript for the backend, phpMyAdmin for managing the database, and Tailwind for the frontend design.
EstateVerse | 2024
EstateVerse is a web-based platform designed to simplify the process of finding and discovering dream properties, whether for sale or rent. This platform is developed using the Laravel framework, renowned for its advantages in data management, high-level security, and scalability, ensuring an optimal user experience. For data management, MySQL is utilized as the primary database system, enabling structured, secure, and easily accessible property information. EstateVerse is also equipped with an intuitive interface, featuring advanced address search functionality and quick access for users to explore various property options. With a modern approach and cutting-edge technology, EstateVerse is committed to being a practical solution for all your property needs.
Games
Discover my collection of creative and interactive game projects.
The Last One | 2024
The Last One is a Unity-based typing game developed by Hexion Games and programmed in C#. Players, as the Demon King, must quickly and accurately type enemies' names to defeat them, improving their typing skills. Featuring unique names for each enemy and engaging pixel art, the game combines entertainment with skill development in a fun and fast-paced experience.
Research Paper
Discover my research projects, highlighting key insights and academic contributions.
Research Paper ICCSCI | 2024
The research paper "Application of Machine Learning Algorithms to Electroencephalography Data for the Prediction of Major Psychiatric Disorders," submitted to ICCSCI 2024, investigates using ML algorithms to diagnose MPD with EEG data. Methods like logistic regression, SVM, RF, XGBoost, LGBM, and CatBoost were tested. LGBM achieved 94% accuracy, and combining LGBM with CatBoost reached 96%. The study shows the potential of ML and EEG integration to enhance MPD diagnosis accuracy and improve psychiatric diagnostics and treatment outcomes.