Rawc-On analyzes your Spotify data to reveal deep insights about your music preferences. By tracking audio features like danceability, energy, and mood across your favorite tracks, it creates interactive visualizations of your listening patterns. The platform offers detailed analytics for music enthusiasts and casual listeners alike, with features spanning playlist analysis, genre trends, and personalized recommendations across different time periods to help you better understand and explore your musical journey.

LavaShuf enhances Spotify's shuffle feature by replacing the pseudorandom algorithm with true randomness. Inspired by Cloudflare's LavaRand, the system captures video of a lava lamp to gather entropy, processes the video frames to detect and track keypoints, and then uses these data points to generate random numbers. These numbers are used to shuffle Spotify playlists, ensuring a genuinely random and fresh listening experience. This methodology leverages a sophisticated pipeline involving a trained YOLOv8 model for detecting regions of interest in the lava lamp video, ORB for tracking keypoints within these regions, and secure hashing with SHA-256 to produce unbiased random indices for song selection.

Mac OCR is an application designed specifically to tackle the academic obstacle of those files not conducive to typical text editing. Integrating with the native macOS screencapture, it recognizes plain text or scientific notation (converted to machine-readable LaTeX) within the image, and appends it to the clipboard for easy copying. The application leverages Google's optical character recognition (OCR) algorithms to accurately interpret text from various image formats. It also supports multiple languages and can handle complex formatting, making it a versatile tool for students, researchers, and professionals who frequently work with scanned documents or images containing textual information.

Botify Grime builds on Botify by developing a playlist-based recommendation algorithm. Leveraging web-scraped genre spatial data from everynoiseatonce, the system visualizes genre data using 2D and 3D scatter plots, combines playlist and genre information, and computes weighted lists of parent and subgenres. It generates customized artist genres, fetches top tracks of related artists, and merges audio features with existing data. Through interactive user input, the system computes similarity scores for tracks based on desired feature values and importance levels, ultimately providing personalized music recommendations.

This ArcGIS StoryMap takes readers on a journey through the transformation of Paris over the centuries. It juxtaposes the city's portrayal in modern works like the 1995 film "La Haine" and Salim Bachi's 2008 story "Le Grand Frère" with historical texts such as Guillaume Apollinaire's 1913 poem "Zone" and François Rabelais's 1534 novel "Gargantua." By merging insightful spatial analysis with rich narratives spanning from the 16th to 21st centuries, the project uses an interactive narrative to illuminate how Paris's evolving urban landscape has profoundly shaped the stories and characters that emerge from it.