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Hello! I'm

Luke Handley

Undergraduate Software Developer

Get to Know More

About Me

Mountain with windy roads
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Education

First Class Honours - BSc Computer Science
BTEC Level 3 - ICT and Computing
(D*, D*, D)

Achievements Icon

Awards

The Henley College Education Award for ICT and Computing

Duke of Edinburgh Silver Award Scheme

I'm a First-Class Honours Computer Science graduate passionate about applying AI to create meaningful impact. I developed ZeroWasteCook, a full-stack AI application tackling food waste through image recognition and recipe recommendations, and led an Agile team building ChatAdvisor, an AI chatbot improving university support resources access for students with learning difficulties. Proficient in Python, Java, Django, PyTorch, and cloud-based AI services. I also recently completed certifications in responsible AI and prompt engineering whilst getting involved with the Thames Valley AI Hub and Reading Tech Cluster. Seeking my first opportunity as a Software Engineer or AI Engineer.

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Interested In

Tech & Creative Interests

Web Application
Development

Generative AI

LLMs

Agentic AI

Photography

Explore My

Experience

Frontend Development

HTML

Experienced

CSS

Experienced

JavaScript

Intermediate

AJAX

Intermediate

React.js

Basic

React Native

Learning

Backend Development

Python

Experienced

Java

Experienced

C/C++

Intermediate

SQL

Intermediate

Google Cloud Platform

Basic

Microsoft Azure

Basic

REST APIs

Basic

Git/Github

Intermediate

AI/ML Development

R

Intermediate

Google Colab

Intermediate

PyTorch

Basic

Pandas

Basic

Matplotlib

Basic

NumPy

Basic

Pillow
(PIL Fork)

Basic

CNN
(Convolutional Neural Network)

Intermediate

KNN and Naive Bayes

Basic

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Browse My Recent

Projects

ZeroWasteCook application screenshots

ZeroWasteCook - AI Food Waste & Budgeting App

Save More 💰 | Waste Less â™ģī¸ | Cook Smart đŸŗ

Problem:

University students often struggle with food waste and tight budgets, contributing to financial strain and environmental impact. This project aimed to develop an AI-driven solution to help students minimise waste and save money through smarter recipe planning and sustainable cooking habits.


Solution:

Leveraging Agile (Scrum) principles, I developed ZeroWasteCook, an AI-powered web application for intelligent recipe recommendations and effective food management. The app classifies ingredients from user-uploaded images using a fine-tuned PyTorch InceptionV3 (CNN) model and sources filtered recipes via the Edamam's Recipe Search API.


Key Features:

  • đŸĨĻ Ingredient Recognition
  • 📅 Recipe Expiry Date Tracking
  • đŸšĢ Allergy & Preference Filters
  • 🔍 Smart Recipe Suggestions
  • đŸŊī¸ Nutrition Insights
  • 🌱 Environmental Impact Rating:
    (A+ to F)
  • 💷 Estimated Food Waste Savings:
    (ÂŖ)

Core Technologies:

  • AI/Machine Learning: Python, PyTorch, InceptionV3 (CNN for Image Classification)
  • Web App Framework: Django
  • API Integration: Edamam Recipe Search API
  • Development Methodology: Agile, Scrum, BDD (Behaviour-Driven Development)
  • Dataset: Utilised the 'Food Classification' Kaggle dataset (61 food ingredient classes) for InceptionV3 model fine-tuning.

Achievements & Impact:

  • User research confirmed significant student interest (>70%) in key features, highlighting the app's potential for promoting sustainable and budget-friendly food habits.
ChatAdvisor Project

ChatAdvisor - AI Student Support Chatbot

Problem:

University students, especially those with learning difficulties, often face challenges in navigating extensive support resources and accessing timely, understandable advice. This project aimed to enhance information accessibility and provide a streamlined student support solution.


Solution:

In an Agile Scrum team of seven, we developed ChatAdvisor, an AI-powered chatbot leveraging Natural Language Processing (NLP) techniques. This conversational AI solution was designed for enhanced student support, providing quick access to university resources through summarised, easy-to-read information and personalised recommendations tailored to specific student queries.


My Contributions:

  • 🔍 Integrating Apache Lucene to enable efficient information retrieval.
  • ✨ Leveraged Microsoft Azure AI Text Analytics for effective text summarisation.
  • 🤖 Configured OpenAI's GPT-3.5 Turbo for empathetic, context-aware AI responses.
  • đŸ’ģ Led User Interface (UI) development with Java Swing for an intuitive UX.
  • ℹī¸ Developed FAQ page to enhance usability and support access.

Core Technologies:

  • AI & NLP Tools: Apache Lucene, Microsoft Azure AI Text Analytics, OpenAI GPT-3.5 Turbo
  • Backend Software Development: Java
  • Frontend UI Development: Java Swing
  • Cloud & API Integration: Microsoft Azure AI and OpenAI

Achievements & Impact:

  • Delivered an AI chatbot for quick, summarised access to university support, helping to reduce student stress
  • Provided a personalised user experience with tailored recommendations for individual student queries

Get in Touch

Contact Me