CSC444: Deep Learning
Project #1: Vans AI
This project meets the goal by creating a local AI assistant that lets users interact with language models, generate responses, and customize AI personalities, demonstrating how deep learning can be applied through an original, interactive interface.
CSC444: Deep Learning
Project #2: Create Avatar for your LLMs
This project meets the goal by using AI to create unique avatars for each LLM personality, generating new and original outputs from large pre-trained models through a customized, interactive interface.
CSC444: Deep Learning
Project #3: PromptCraft
PromptCraft meets the goal by using AI to generate unique conversation responses and pixel art, combining large-scale language models with original interactive features to produce new, personalized data.
CSC342: React Native I
Project #1: Multi Screens WIT25 Showcase Guide App
This project meets the goal by using JavaScript and React Native in the Expo Snack environment to build a multi-screen mobile app, demonstrating cross-platform development skills and modern software practices.
CSC352: React Native II
Project #2: ArtVise AI – Gallery Challenge
This project meets the goal by using JavaScript and React Native inside the Expo development environment to build a cross-platform interactive game, demonstrating modern mobile development skills, animation techniques, and professional workflow practices such as version control.
CSC352: React Native II
Project #3: ArtVise AI Mobile Companion Hub
This application meets the goal by combining multiple programming languages (JavaScript/JSX for React Native and JSON for configuration), using different development environments such as Expo Snack and a local React Native environment, and deploying across multiple platforms including iOS and Android.
CCSC285 - Python Programming II
Project #1: InstaFolioTunes
InstaFolioTunes meets the goal by organizing and managing images and sound files using structured data in Python, integrating them within the Pygame interface to provide a seamless multimedia experience.
CCSC285 - Python Programming II
Project #2: PyEdit
This project meets the goal by using Python data structures to manage text and code, integrating file handling and interface elements to organize and manipulate data like a simple database system.
CCSC285 - Python Programming II
Project #3: Music Mood Web AI Sentiment
This project meets the goal by using structured data to manage a music library and user inputs, analyzing text sentiment, and integrating the results to provide personalized song recommendations through a web interface.