Infinity Bugs

Develop the smartphone application that customers will use to request the ZiGGY charging robot. The app must allow users to input their parking spot, track the ZiGGY robot's arrival on a live mini-map, and process payments.

Build the central FastAPI server that receives EV charging requests and dispatches the closest ZiGGY robot. You will also integrate a local computer vision model to display targeted smart ads on the ZiGGY robot's screen when it reaches the customer.

This project aims to design an intelligent system for real-time football field management. The goal is to enhance the experience of players, referees, and spectators using IoT, computer vision, and mobile applications. The system enables: automatic goal detection via sensors or AI camera; instant replay of key actions (goal, foul, offside); integrated VAR mode with multiple cameras for zoom, rewind, and video analysis; referee interface to validate or cancel a goal; automatic side switching (Right / Left) with digital display; sensors to detect the ball crossing the goal line; real-time data synchronization with a cloud database.

Develop a swarm of intelligent software agents that simulate a medical board. You will train and deploy distinct AI agents (e.g., a radiology agent, a symptom analyzer, and a pharmacology agent) that communicate with each other using LangChain to analyze patient cases, cross-reference medical databases, and propose a unified, safe treatment plan.

Build the 2D simulated parking environment and program the autonomous movement of the ZiGGY charging robot. You will use ROS 2 Humble and Nav2 to ensure the virtual ZiGGY robots can navigate to requested parking spots and return to their charging docks without colliding.

Create the database infrastructure and a React.js web dashboard for parking managers. The dashboard must feature a live 2D map tracking the movement, battery levels, and system revenue of the entire ZiGGY robot fleet in real-time.

This project involves designing and modeling robotic systems using SolidWorks. The goal is to turn mechanical ideas into functional 3D models ready for manufacturing or 3D printing. The project includes: 3D modeling of robots (robotic arm, mobile robot, etc.); complete mechanical assembly (gears, motors, chassis); motion simulation and mechanical verification; design optimization for manufacturing (3D printing or CNC); creation of detailed technical drawings; preparation of STL files for 3D printing.

This project aims to develop an intelligent interactive robot for children to help them learn while having fun. The robot is capable of: voice interaction with children (simple AI assistant); answering educational questions (math, languages, logic); detecting presence and basic emotions; connecting to a mobile app for control and monitoring; playing interactive educational games; being controlled via IoT (ESP32 / mobile application); saving data and interactions to a cloud database.

This project aims to design and develop custom PCB boards for intelligent robotic systems. The goal is to create reliable and optimized electronic circuits for control, power management, and communication in robots. The project includes: design of electronic schematics for robotic systems; development of single and double-layer PCBs; integration of microcontrollers (ESP32, STM32, Arduino, etc.); power management and circuit protection; integration of sensors, motors, and communication modules; PCB routing and optimization of electronic traces; preparation of Gerber files for manufacturing; testing and validation of electronic boards.