2nd Place — Brilliant Blue Challenge 2024 (Canada)
Robotics · Computer Vision · Full-Stack
AqUadiVer
An autonomous underwater vehicle capable of dynamic obstacle avoidance and AI-powered navigation under competition constraints, built on computer vision and paired with a full-stack MERN mission control platform. Led a team of 4 engineers.
Python · OpenCV · ROS · Computer Vision · AI · Raspberry Pi · React · Node.js · MongoDB
2nd Place
Brilliant Blue 2024
The System
What it does and why it exists
AqUadiVer is an autonomous underwater vehicle (AUV) built to navigate competition waters without a human pilot. Onboard, a Raspberry Pi runs the real-time control loop, fusing sensor input with a computer vision pipeline built on OpenCV to detect obstacles and open water in the vehicle's path.
Navigation decisions are made autonomously — the AI logic evaluates the vision feed frame by frame and adjusts course to avoid obstacles under competition time constraints. Above the waterline, a full-stack MERN mission control platform gives the team telemetry and monitoring, so the vehicle's state is visible even though no one is steering it.
Stack
- Python
- OpenCV
- Computer Vision
- AI Navigation Logic
- Raspberry Pi
- ROS
- Sensor Fusion
- Real-time Control Loop
- React
- Node.js
- MongoDB
- Telemetry Dashboard
Results
2nd
Place — Brilliant Blue 2024
Canada
4
Engineers Led
Hardware + software
3 mo
Concept to Competition
Full build cycle
AI
Obstacle Avoidance
Real-time, autonomous
My Role
Team Lead & Systems Integrator
Led a team of 4 engineers, coordinating hardware and software development in parallel
Built the computer vision pipeline for real-time obstacle detection with OpenCV
Implemented the AI navigation logic that drives autonomous obstacle avoidance
Architected the full-stack MERN mission control platform for telemetry and monitoring
Integrated ROS and the Raspberry Pi control loop with the onboard sensor stack
Team
Built with a team of 4 engineers across hardware and software, competing at the Brilliant Blue Challenge 2024 in Canada — one of the most competitive international robotics challenges.
Have a system to build?
Open to engineering challenges, collaborations, and high-impact projects.