Kieran

Inpainting and Restoration Challenge(discontinued)

In this activity, you’ll explore the power of image inpainting to transform or repair images. Instead of generating an image solely from text, you’ll provide an existing image and a corresponding mask (where white areas indicate regions to be modified or restored). By supplying a textual prompt that describes the desired change, the AI model fills in the masked regions to create a seamless, restored, or altered image. This exercise is perfect for learning how to guide the creative process beyond full image synthesis—enabling detailed editing and repair of existing visuals.

Post-Processing Magic Workshop

In this activity, you'll generate an image using a text-to-image model (Stable Diffusion) and then enhance it with post-processing techniques. The session focuses on applying practical image adjustments such as increasing brightness, boosting contrast, and adding a soft-focus effect with Gaussian blur. Using Python libraries like Pillow, you'll learn how to transform raw AI-generated images into polished artworks, highlighting the impact of subtle adjustments on the overall visual quality. Enjoy exploring how post-processing can refine and elevate your creative output!

Sentiment Analysis Application

Sentiment Analysis Application

Setting Up Your Hugging Face API Key

This activity guides you through the process of integrating a Hugging Face API key into your Python project in a secure manner. You'll start by creating a Hugging Face account, completing your profile, and verifying your email. Once your account is set up, you'll generate a read-only access token and securely store it in a config.py file. To protect your sensitive information, you'll also learn how to configure Git to ignore the file containing your API key. Finally, you'll integrate the API key into your main Python script, ensuring a smooth and secure connection to Hugging Face services.

Fetching Trivia Questions and Displaying Them

Students will use a Trivia API to fetch trivia questions and create an interactive quiz where they can answer the questions and receive feedback.

Image Manipulation Challenge

Learn how to apply basic image manipulation techniques like rotation, cropping, and brightness adjustments, while also gaining experience with image transformations.

Image Resizer

Create a Python script using OpenCV to resize an image into three predefined sizes, display each resized image, and save it.

Adding Random movie recommendation

Create a movie recommendation system that offers AI-based or random suggestions. Users can select recommendations based on genre, mood, or IMDB rating. Display structured movie details like title, genre, IMDB rating, and sentiment analysis of the overview for a clear and engaging experience.

Enhancing the MNIST Digit Classifier

In this assignment, you will build on the concepts you've learned in class to enhance and further explore the MNIST digit classification model. You will modify and improve the neural network to achieve better performance, implement data augmentation to improve model robustness, and experiment with different activation functions and optimizers. This challenge will help reinforce your understanding of neural networks, data preprocessing, and model evaluation.

Rock paper scissors with AI

Develop a Python-based Rock Paper Scissors game where players compete against an AI opponent employing basic strategies to enhance decision-making and programming skills.

Enhancing the Days Remaining & Age Calculator with Advanced Features

This ACP aims to build upon the basic functionality of a Days Remaining and Age Calculator by incorporating advanced JavaScript date manipulation techniques. Students will apply their knowledge of the JavaScript Date object, including creating, initializing, formatting dates, and calculating differences between dates, to add new features and improve the user interface.