Where hardware, software, and an actual problem meet — Science & Technology Fair work and the engineering process behind it.
Project R.I.V.E.R. flood monitoring system: IoT-based early-warning combining physical sensing, communications, machine learning, databases, and web/mobile software.
Built from the ground up in approximately three weeks for a Science & Technology Fair project.
District Champion · Congressional 3rd Place
A computer-vision research prototype for simulated water-rescue support.
District Champion · Congressional Champion
I’m interested in systems that combine sensing, computation, and physical action to address real-world problems.
A computer-vision research prototype for simulated water-rescue support.
Preparing for the Division Science, Mathematics, and Technology Fair (formerly known as the Science and Technology Fair).
Won the congressional-level Science, Mathematics, and Technology Fair (formerly known as the Science and Technology Fair).
Won the district-level Science, Mathematics, and Technology Fair (formerly known as the Science and Technology Fair).
Participated as a team lead in an international competition focused on environmental solutions.
Placed third at the congressional-level Science and Technology Fair in the Innovators category, representing Ubay National Science High School (UNSHS) with Project R.I.V.E.R. flood monitoring.
Won the district-level Science and Technology Fair in the Innovators category, representing Ubay National Science High School (UNSHS) with the Project R.I.V.E.R. flood monitoring system.
Concept papers, posters, presentations, and school-submitted research artifacts will be added after I confirm permission to publish them. Public technical documentation, including the archived R.I.V.E.R. README and diagrams, is available through the project entry above.