Computer Vision, Machine Learning
This project makes use of the TensorFlow/Keras to build a system to segment images. The design utilises a number of different deep. learning techniques to build and train a model that can segment unseen frames from a video with 96% accuracy.
ScikitLearn, Visualisation
Regression analysis is a set of statistical processes for estimating the relationships between a dependent variable and one or more independent variables. This project uses a dataset of Footballer Market Values to predict the price of similar players. The model is trained using a linear regression algorithm and visualised using Tableau.
Machine Learning, Hyperparameter Tuning
Using Robert Axelrod's Model of Adaptive Culture, this project uses a genetic algorithm to evolve a population of Machine Learning agents by using a variety of methods of 'cultural exchange' to tune hyperparameters. The model fine-tunes selected hyperparameters to improve the performance of the final model with greater speed than traditional methods.
Django, GCP
I developed a comprehensive inventory management platform for an online retailer specializing in used iPhones, using the Django framework and hosted on Google Cloud Platform (GCP) App Engine for scalability and reliability. The platform features a centralized inventory database with detailed item records and an intuitive interface for easy management of orders and stock listing.
HTML, CSS, JS, Django
I built this dynamic website using Django, leveraging its powerful templating engine for rapid development and reusable components. Hosted on the versatile Railway platform, which supports multiple programming languages, this site boasts exceptional performance and scalability. Styled with modern CSS techniques, the website offers a sleek, responsive design that ensures a seamless user experience across all devices. The interactivity is enhanced using jQuery, keeping the overhead low and avoiding bulky JavaScript frameworks.