BUILD LAB
My
In the Build Lab, I follow one rule: build with people, not just for them. Every product I make starts with a conversation – with a child, a teacher, a parent or a lifeguard – long before the first line of code. Here are the three products I've built, and the teams who helped me bring them to life.
Cerebral Palsy Pediatric Walker
Problem: Many existing walkers are heavy, don't fit young children, and give no feedback when a child loses balance.
Solution: Starting from the sketch I drew after meeting Bin, I conceived, designed, and developed a walker made specifically for children with cerebral palsy. I applied mechanical principles to make the frame sturdy, safe and easy to use, then installed a sensor system and programmed the controls in C++ so the device responds quickly and accurately.
Journey: The first prototype was too heavy; the second wobbled when it moved. Every time I brought it to the center, the teachers gave me feedback I had never thought of – and I went back to fix it.
Impact: With the Innotech team, we partnered with the Vina Health Center for Inclusive Education Research & Rehabilitation and donated a complete walker set. Our charity campaign, "Brave Hearts, Strong Steps," raised over 20,000,000 VND to support children with cerebral palsy.
CereAware
Problem: Many children are identified with cerebral palsy only after the critical window for intervention has passed, because early signs are hard for parents to recognize.
Solution: CereAware is an AI-powered assistive system that helps identify potential early signs of cerebral palsy in children through [movement/posture/behavior] analysis. It doesn't replace doctors – it acts as a reminder that helps parents monitor their child and seek a medical checkup sooner.
Journey: I led a team of 8 through research, AI model development, prototype testing and product iteration. The hardest part wasn't the code – it was the data. Collecting data on young children demands great care and respect for every family's privacy.
Impact: Working with [hospital/doctors/organization] to validate the solution, CereAware was tested on 12 cases with 78% accuracy. It's a modest start, but it is a start – and I'm now expanding the project toward assistive technology for children and people with disabilities.
Aqua Guard
Problem: Drowning can happen in under a minute and is often silent. At pools and crowded swimming areas, lifeguards can't watch everyone at once.
Solution: Aqua Guard is an AI-powered computer-vision system that detects potential drowning incidents in real time through video-based human detection and distress analysis. I built the end-to-end system: the AI detection model, a Python application, an API backend, distance estimation and rescue-coordinate calculation.
Journey: As a swimmer, I know that people who are drowning rarely shout or wave like in the movies – so the model had to learn movements that are very hard to spot. I then integrated hardware, including an ESP32-CAM and an autonomous rescue buoy prototype, so the system could not only see but also act.
Impact: Aqua Guard grew into an intelligent water-safety solution designed to cut detection and response time during emergencies – because when someone is drowning, every second counts.
What’s Next?
My three products follow the same path: from hardware that supports movement (the walker), to AI that enables early detection (CereAware), to computer vision that keeps people safe (Aqua Guard). Next, I want to connect them: using sensor data from the walker to track a child's progress over time, and bringing CereAware closer to parents through a simple app.
That's why I want to study Computer Science: to build a strong foundation in AI, data, and systems, and turn student prototypes into tools families can truly use every day.