University
University of Chester
CO5992 - Experiential Learning
Machine Learning Web Application
This project is developed as part of the University of Chester second year CO5992 Experiential Learning module. The application is designed by Team Mars to support students learning machine learning concepts through interactive, visual, and student-friendly digital activities.
University of Chester
Second Year Student Project
Project Information
University Module Details
Module
CO5992 - Experiential Learning
Student Level
Second Year Student
Team
Team Mars
Project Team
Team Mars Members
Team Mars is responsible for designing and developing the LearnML web application as part of the CO5992 Experiential Learning module.
Akif
Project Manager
Hamid
Software Engineer
Theeksha
Designer
Adithya
Designer
Kushan
Developer
Mashood
Developer
Labony
Game Developer
Wafi
Cyber Security Expert
Client Brief
Purpose of the Application
The aim of this web application is to make machine learning lecture content easier to understand by transforming weekly topics into interactive learning pages. Instead of only reading dense lecture slides, students can learn through short explanations, quizzes, visual demonstrations, and progress tracking.
Client / Contact
Paul Underhill
p.underhill@chester.ac.uk
Platform Features
What LearnML Includes
Weekly Learning Structure
The platform is organised into four weekly sections based on the lecture content.
Machine Learning Concepts
Topics include supervised learning, classification, neural networks, black box models, and model evaluation.
Interactive Activities
Students can interact with activities such as KNN visualisation, neural network builder, and confusion matrix calculator.
Quizzes
Each week includes a quiz, and a final mixed quiz checks understanding across all topics.
Progress Tracking
Student progress is saved so users can continue learning when they log in again.
Responsive Design
The interface is designed to work on laptops and mobile devices.
Educational Purpose
Designed for Student Learning
LearnML focuses on making abstract machine learning concepts more accessible, memorable, and engaging. The application supports revision by breaking topics into smaller sections and encouraging students to test their understanding before progressing to the next week.
Simple explanations
Visual learning
Knowledge checks
Progress-based learning