Feeding Pets of the Homeless
This full-stack application enables Feeding Pets of the Homeless, an international nonprofit, to streamline communication with its donation sites worldwide.
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Technologies: React, Firebase, PostgreSQL, Node.js, JavaScript.
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GitHub
Also, explore the comprehensive breakdown in the Case Study!
Minesweeper Solver
An advanced Python AI agent that excels at solving any Minesweeper board, regardless of size or difficulty. This highly efficient agent optimizes both performance and accuracy through recursive backtracking, frontier-splitting, constraint satisfaction problem solving, maintaining equivalence classes, and applying a Minimum Remaining Value (MRV) heuristic.
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Technologies: Python.
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Get Inspired
A full-stack application designed to provide a streamlined database system for Get Inspired, a local nonprofit dedicated to Pismo clam restoration in the Laguna area. This system enables the organization to easily track volunteer details and visualize restoration progress, improving efficiency and oversight.
Technologies: React, Firebase, MySQL, Node.js, Express, JavaScript.
GitHub repository
Pokescape
Valnotes
A 2D video game, built entirely in Java, that simulates an escape room experience where players must interact with their environment, uncover clues, and help Celebi escape from imprisonment. The game features a premade game state management system and incorporates both audio and visual interactions for an immersive experience.
Technologies: Java (with libraries).
A personal project designed to enable users to seamlessly take notes, store, and organize both personal and professional gameplay videos (VODs). This platform aims to fill a gap in the eSports education system, providing players and coaches with a dedicated tool for tracking, documenting, and reviewing game footage, with the potential to become a valuable resource for developing talent.
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Technologies: React, PostgreSQL, Node.js, Express, JavaScript, RIOT Auth.
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Real World Network Analysis
A research project focused on analyzing real-world and custom graphs using models like Barabási-Albert and ErdÅ‘s-Rényi. The project involves measuring key graph metrics such as diameter, clustering coefficient, and degree distribution, with optimizations leveraging self-balancing trees and graph degeneracy. The analysis is conducted on networks from the Stanford Large Network Dataset Collection.
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Technologies: Python.
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Agape Mental Health
A Google Chrome extension and database system that implements sentiment analysis to track, document, and generate insightful user profiles by scraping messages from both Facebook Messenger and Instagram. This tool provides guidance based on the sentiment of user interactions.
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Technologies: React, MongoDB, AWS.
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