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FeatureCreep

Welcome to FeatureCreep, a project where all features are welcome!

Currently Implemented Features

  • Pomodoro
  • Dune Tracker

Pomodoro

The Pomodoro Technique is a time management method for students, perfectionists, and procrastinators of all kinds. It involves working in focused, 25-minute intervals.

There are three timer modes based on the Pomodoro technique: work, break, and long break.

Users can customize the pomodoro format to suit their specific needs. For example, a format like (50/10/30) might be preferable for certain work activities compared to the standard (25/5/15).

Tasks can be created to stay organized and focused during work time. Completed tasks can be checked off the list.

Dune

Dune: Imperium is a game that draws inspiration from elements and characters in the Dune legacy, including the new film from Legendary Pictures and the original literary series by Frank Herbert, Brian Herbert, and Kevin J. Anderson.

For competitive gameplay of this board game, tracking statistics for specific leaders can be beneficial. The leaders are displayed in a grid with their overall stats for each player. Clicking on a leader provides a detailed breakdown of their stats. Additionally, the page includes a match history of games played with that leader in that expansion. New games can also be added from this page.

Demos of My Semester Projects at AAU

In addition to the implemented features, the FeatureCreep website includes demos for each semester project from my time at Aalborg University. They are listed ascending from the first semester project.

Bachelor's Degree

  • Intelligent insurances - Automatic trip registration
  • Automated playtest with AI
  • Elogic - A Quotation management tool
  • CLUBS - Card Language Using Better Syntax
  • Map Matching and Weight Completion
  • Digitization of whiteboards and papers in real time using a mobile device

Master's Degree

  • InciPort - Incident Report Service
  • Meals on Wheels (MoW) - On-Wheel Meal Ordering System using Spatial Crowdsourcing
  • GroupMap - Leveraging Spatial Context to Predict Interactive Multi-Agent Behavior
  • NCLTP - Non Contrastive Learning for Trajectory Prediction