Description:

Programming involves being able to problem solve and approach ideas from different angles, but the act of writing code can be repetitive and disrupt the flow of thoughts. Currently, programming requires the ability to type, but what about people with injury or disability?

This project aims to tackle these issues by using voice-recognition and natural language processing to turn speech into code. The goal would be for the speech to be as natural as possible, similar to talking to an AI assistant like Siri.

Type:

Undergraduate

Outcome:

A software application which will write basic code from spoken commands.
Research component: investigating ways to automatically create software code from spoken text

Prerequisites

None

Specialisations

• Software Engineering

Categories

• Software Development Tools and Processes 1

Supervisor

• Kelly Blincoe

Co-supervisor

• Catherine Watson

Team

Allocated (Not available for preferences)

Lab

Lab allocations have not been finalised