Date of Award

Fall 11-21-2025

Document Type

Undergraduate Honors Thesis

Degree Name

B.S. in Computer Science

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science, Computer Science

First Advisor

Matthew J. Rutherford

Second Advisor

Daniel Stevenson

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Keywords

Computer science, Artificial intelligence (AI), Embedded systems, Python, Computer vision, Large language models (LLMs)

Abstract

This project provides a unique implementation of an automated visual, textual, and audio-based journal. It uses both hardware and software solutions, combining a Raspberry Pi with AI to generate this journal. The Raspberry Pi hosts the functionality of the project. It interfaces with a camera and external button to allow photographs to be taken. It also hosts a webserver to display the photographs it takes. An external AI API is used to generate text and audio to describe the images taken on the device.

This device provides a way to take photographs to form this visual journal with minimal user input. The device can take photographs at regular intervals. This is a unique implementation that could be used by the user to create a summary of their day. This is useful for both social media and for general recordkeeping by the user.

Copyright Date

11-12-2025

Publication Statement

Copyright is held by the author. This work may only be accessed by members of the University of Denver community. The work is provided by permission of the author for individual research purposes only and may not be further copied or distributed. User is responsible for all copyright compliance.

Rights Holder

Sage Labesky

Provenance

Received from Author

File Format

application/zip

Language

English (eng)

File Size

341 KB

Supplementary File Description

Zip File Contains:

Thesis
File Type: application/pdf
Language: English (eng)
Extent: 10pgs
File Size: 255 KB

Project Code:
PiSetup_bb.png | Diagram of the hardware layout
README.md | Information file in R Markdown
GPTImageAnalyze.py | Python application file
WebServer.py | Python application file
README.md | Photo information file in R Markdown
index.html | HTML website landing page


Note that this code can only be effectively run on Raspberry Pi OS. Additionally it requires analog input and output to use all of the included features.

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