Objective #1

Create, analyze and integrate artificial intelligence applications and loT systems.

Projects that meets the requirements of Objective #1:

Project #1 - CSC370: Artificial Intelligence

GleeBot

is an interactive chatbot, designed for friendly conversations and assistance. It responds to various inputs, including greetings, inquiries about its creation, favorite topics, and general chat prompts.

Fulfilled Objective:

This project involves creating an artificial intelligence chatbot application, satisfying the creation and integration aspect of AI applications.

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Project #2 - CSC444: Deep Learning

VansAI

"VansAI" is a GUI application built with Python and tkinter to interact with a local language model (LLM). It features various AI personalities and functionalities. The application initializes by loading a specified LLM model using the llama_cpp library, providing options to select different personalities.

Fulfilled Objective:

It integrates artificial intelligence applications through its interaction with local LLMs. It involves creating and analyzing AI models to provide conversational interfaces.

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Project #3 - CSC444: Deep Learning

PromptCraft

This application offers a local GUI interface for interacting with a Language Learning Model (LLM). Users can generate model responses, save conversations, and load past sessions. The tool also features a pixel art drawing pad with color selection, undo functionality, and the ability to save artwork.

Fulfilled Objective:

PromptCraft also meets Goal 1 as it involves creating and integrating artificial intelligence applications through its interaction with LLMs.

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