Let's reduce migraine attacks with ML
I specialize in developing and deploying high-performance machine learning models for real-world applications. These include time series analysis, regression models, and computer vision; often deployed via Google Cloud as a REST API to Netlify or on Hugging Face Spaces as a Gradio app. I can also develop simple vibe-coded applications, sites and chatbots with integrations.
Featured Projects
Predictive Maintenance
End-to-end solution for industrial equipment maintenance prediction. Helps prevent equipment failures and optimize maintenance schedules.
Arisi – Rice Disease Classification
Computer vision system for identifying diseases in rice plants. Helps farmers diagnose plant health issues early for better crop management.
Meaticulous – Meat Freshness Detection
AI-powered system for detecting meat freshness using computer vision in multiple languages (English, Tagalog, Arabic, French, Chinese). Upload meat photos for instant freshness analysis. Built with TensorFlow and deployed on Google Cloud.
Migraine Prediction System
AI-powered migraine forecasting system that helps users predict and prevent migraine attacks using environmental and personal health data.
Boat Engine Failure Prediction
Advanced predictive maintenance system for marine engines using time series analysis and machine learning. Currently in development.
BatasMind - Legal AI Assistant (VIBE-CODED)
AI-powered legal assistant based on Filipino law, designed to provide affordable yet high-quality legal help for budget-constrained Filipinos. Uses precedents and aggressive legal strategies beyond academic research.