VIGÍA ML Brings In-Browser AI Monitoring to Gas Wells Without Cloud Dependency

VIGÍA ML is an open-source predictive monitoring console for gas wells that runs entirely in the browser using TensorFlow.js and React, with no backend or cloud infrastructure required. The tool trains four machine learning models — an LSTM production forecaster, an autoencoder anomaly detector, a neural fault classifier, and a recommendation layer — directly on user-loaded well data within each session. It was built to address a key challenge in the oil and gas industry: proprietary well data such as tubing pressure and flow rates cannot easily be sent to cloud pipelines due to security, cost, and connectivity constraints. Designed as a Progressive Web App, VIGÍA ML works fully offline, making it suitable for remote field sites with unreliable internet access. The Spanish-first interface targets Latin American operations teams, and the project is available under a source-available license on GitHub.