Projects

This is an analysis of Convolutional Neural Networks (CNNs) on the MNIST and CIFAR10 datasets. The project evaluates the performance of four models: InceptionV3, VGG16, ResNet50, and MobileNetV2

Vision Toolkit is a project showcasing various basic computer vision tools. The toolkit includes: 1. Image Rotation, 2. Convolution and Filters, 3. Color Histogram, 4. Similarity Descriptor, 5. Background Extractor

This project is an AI route finder for the London Tube using an agenda-based search mechanism. It implements and compares four algorithms: 1. Breadth-First Search (BFS), 2. Depth-First Search (DFS), 3. Uniform Cost Search (UCS), 4. Best-First Search (Heuristic Search)

ROS package simulates an experiment to test if great apes can anticipate human false beliefs using a Bayesian network.

A Flutter mobile application that allows identification of fruit flies using Deep Learning.

An automatic seeding machine that makes use of a rover, a robot arm and sensors. This project won the first prize in UoM Hackathon 2020 and was presented for UoM Robotics Lab launching ceremony.