AQUILA is an AI-Driven autonomous underwater vehicle with a remote control system for active recovery. The submersible uses onboarded navigating sensors in order to effectively navigate through water bodies such as ponds and lakes, while navigating and actively mapping the water bodies. The sensors on the submersible also are able to check the water’s sustainability using pH sensor, nitrate sensor, thermometer, etc. Using the data collected through navigation, the AI software is able map out pollution and algae within the water body.
Built the early foundation of RoyOS, an agentic operating system designed to unify tools, workflows, and AI automation into a single environment. Set up core architecture for how agents, tools, and services communicate within the system. Implemented initial backend structure and modular agent components for executing tasks, managing context, and interacting with external APIs. Designed early systems for tool integration, command routing, and execution flow. Developed early command-driven UI concepts for controlling workflows through natural language and structured inputs. Continued refining system architecture to support extensibility, multiple agents, and persistent memory. Overall, established the core groundwork for RoyOS as a flexible agent-based system connecting AI, tools, and user workflows.
CourtQuest is an all-in-one tournament management platform built to foster community sports. It combines registrations, payments, scheduling, live scoring, brackets, and organizer, referee, and admin dashboards into one modern platform, simplifying tournament operations and helping organizations run successful fundraising events for their communities.
A amazing macropad!