Contains code meant to optimize the route for a tourist visiting the Louvre Museum, such that the satisfaction level is maximised by visiting all/select exhibits in a single working day.

Testing optimization for generating optimized paths from waypoints using Bezier curves

A simple Dash app to visualize, modify and optimize global paths for autonomous cars.

Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization

Experiments with gradient descent based path planning on differentiable surfaces

Computer vision program using OpenCV to automate and optimise the decoration of hot-cross buns using modular robot arm. Project completed during placement at Inovo Robotics.

OrderFlow Optimizer is an order assignment and route optimization system designed for delivery riders. It automatically assigns orders based on location, availability, and workload while calculating the efficient routes. This ensures faster deliveries, balanced rider distribution, and improved operational efficiency for logistics companies.

A Python-powered MicroMouse robot designed to autonomously navigate mazes using real-time sensor data and algorithms like wall-following, flood-fill, and dead-end filling. Features live mapping, path optimization, and serial communication with the robot’s hardware platform. Built for speed, adaptability, and efficient maze-solving.