This repository contains a set of python codes for implementation of Linear Programming methods for "toy" optimization problems such as facility location, transport planning, lecture assignments to students, vortex colouring etc. These problems are modeled using Linear Programming and solved using the Gurobi Solver. These were carried out as part of the curriculum in RWTH Aachen Business School.

This is a robot I designed in Fusion 360 and 3D printed with my FlashForge Creator Pro in PLA, Main Hardware: 1 x Raspberry Pi 3b, 3 x Arduinos with I2C, 5 x ultrasonic sensors, 4 x 60Kg Servos, 4 x 12V 200rpm DC motors, 1 x stepper motor for loading ammo into custom built coil gun. The coil gun uses 2 x 450V 1000uF Capacitors in parallel with a boost converter, yielding 380V maximum charge discharge from a 12V input, firing with a 1.2kV maximum peak non-repetitive surge current 1.1kA rated Thyristor SCR, Main Software: Uses TensorFlow and Python for Object Detection with some C++ for motor controls. The model used is a retrained Single Shot Detection MobileNet V2 algorithm trained on a toy reindeer. Signal processing allows proportional controller feedback to adjust movement of the robot for moving, aiming, and shooting. An application for IOS was written in Swift to control the robot as well, using Mosquito MQTT Broker for communication.

A toy search engine using Query Likelihood model