Work

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.

Winner of the UoM Web Competition in 2019. A website had to be developed in 24hrs from scratch.

A 48 hour competition organised by the MCB where ideas are developed and pitched.

A 24 hour competition to develop a mobile application related to the SDGs.

Winner of the 3-days long competition to develop an innovative solution on the topic of Agriculture.