Open Projects
There are three responses to a piece of design—yes, no, and WOW! Wow is the one to aim for.
~ Milton Glaser
The ultimate solution for real estate sellers looking to streamline the loan processing journey for their clients!
🏡Matching you with a home that's just right. Find a home that's just right for you – affordable, in the perfect spot, and just what you need.
🧑💻EEs Visualizer is an interactive tool for visualizing Fundamental Algorithms in Sorting, Searching, and Path Finding. This involves comparison between different algorithms and visulization of how each of them works. You can compare the algorithms' speed or how one is better than others. There are cool animations for visualizing algorithms.
☕🍵E-commerce platform of Mascota-de-Cafe coffee company. A school business project. We use this website to advertise and promote our coffee products. This is not a full-stack app but shows off my early frontend skills.
🌱A machine learning web and mobile application for soil type classification for plant decision making.
A security support and attendance system for St. Bernadette College of Alabang. This project uses RFID as the identification device of students and staffs. It monitors the visitation records of each person in the building through RFID readers with NodeMCU that communicates with the server through websockets. Students and staffs can tap their RFID cards and the system automatically records their time in as they enter the building and time out as they go out.
⚡OpenAI Assistant that generate answers to questions and commands including grammar checking, code generation, language translations, sentence paraphrasing and so much more!
This project is a web-based expert system that can classify skin cancer images using Convolutional Neural Networks. It can classify images into 7 classes: Actinic Keratosis, Basal Cell Carcinoma, Benign Keratosis, Dermatofibroma, Melanoma, Melanocytic Nevi, and Vascular Lesions.
🔑An encrypted account storage system. Store your accounts safely and securely. 🔑Passwords encrypted and managed by your single master password.
This is a machine learning application that identifies contradicting sentiment of a Filipino product review comment and its score (star rating) through supervised learning. The model uses Support Vector Machine as the classifier. The training data is scraped from Lazada Philippines.
