CSC370: Artificial Intelligence
Project #1: Pixel Vansfied
The Pixel Vansfied project meets the goal by developing, analyzing, and integrating artificial intelligence applications through AI Agents, while laying a foundation for potential future integration with IoT systems.
CSC370: Artificial Intelligence
Project #2: Gleebot
This project involves creating an artificial intelligence chatbot application, satisfying the creation and integration aspect of AI applications.
CSC444: Deep Learning
Project #3: PromptCraft
This project meets the goal by creating and using artificial intelligence through a local interface that lets users interact with a language model, generate responses, and create pixel art, showing how AI can be integrated into a creative tool.
CSC370: Artificial Intelligence
Project #1: Pixel Vansfied
This project meets the goal by demonstrating how to design and create a system where AI Agents understand instructions in natural language and use them to generate real software, showing practical skills in natural language processing.
CSC370: Artificial Intelligence
Project #2: Gleebot
This project meets the goal by demonstrating skills in designing and creating a natural language processing system that can understand user input, generate appropriate responses, and maintain interactive conversations through a user friendly interface.
CSC444 - Deep Learning
Project #3: VansAI
This project meets the goal by showing how to build a natural language processing system using a local LLM, allowing users to interact through a GUI and receive both text and spoken responses.
CSC275 - C/C++ Programming Language
Project #1: TaskMaster App
TaskMaster App meets the goal by showing how to design and build a machine learning system using best practices like encapsulation, multi-threading, and error handling, while providing a user-friendly and organized task management application.
CSC235 - Python Programming I
Project #2: Music Mood
This project meets the goal by demonstrating how to design and create a machine learning system that analyzes user text to determine sentiment, applies best practices in building a Flask web app, and delivers personalized music recommendations based on the analysis.
CSC444: Deep Learning
Project #3: Create Avatar for your LLMs
This project meets the goal by showing how to design and build a machine learning system using a local LLM, letting users interact with the AI through a GUI and creating custom avatars for each model.