Dartmouth ID Magnetic Stripe

It's been a while since I've played with the Dartmouth ID's, but my brother got me a Magnetic Reader-Writer for Christmas, so I've been having a blast messing around with it. I wrote a bit about the magnetic stripe over 2 years ago, but most of that was conjecture from one VERY out of date article I found online. So, let's take a look at what's on it now!

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Dog-a-Day Backend

When I first created Dog-a-Day, it ran off of a PHP script that had the images for the days in an array. I then decided to move it into a MySQL database, where I would insert URLs and dates. That quickly became too much of a hassle, and I created a simple form that would take in a URL, and automatically calculate the next date, and insert it into the database. I realized that duplicates might be an issue if I wasn't paying close enough attention, so I implemented perceptual hashing, to try and find similar images. But this was all built on top of previous functionality, and was bad enough to consistently make it harder and harder to add images. So I decided it was time to rebuild it.

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ShiftCycle Update

I posted about ShiftCycle before, so read quickly about it if you missed that blog post. One of the ShiftCycle users messaged me a while ago asking to be able to reorganize the order of changes, which required a rewrite of how the tweak stored permissions.

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Facebook Deep Linking Options

For some reason, the deep-linking URLs aren't publicized anywhere by Facebook. In case you're looking for them, or in any other app, here's the process to follow. First figure out what the protocol is (for Facebook it's fb://, for Twitter it's twitter://, etc.). Then, download a cracked version of the app. You can either find this online, or decrypt it yourself using Clutch or a similar thing on a jailbroken iPhone.

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Dart Dine

Dart Dine was the culmination project for CS89, Human Computer Interaction. Our goal was to revamp the Dartmouth meal site, which is located at http://nutrition.dartmouth.edu:8088. Our goal was to make a mobile app that would solve all of the UX/UI problems that the current site had, especially when accessing it on mobile, and also combine all dining information into a useful format.

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Sudoku Solver: Online

A while ago I wrote a Sudoku solver in Python that could programmatically step through the solution, solve the whole thing, or show what options were available for each location. It ended up being a good distraction while I was on a plane with no internet. However, I was on yet another long plane ride and decided to see what I could do to improve on it.

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Colorize

A while ago I was designing a website, and wanted a good color blue. However, I'm incredibly indecisive when it comes to choosing color palettes. I envisioned some site that would allow me to type in 'blue', and it would give me the ideal blue color. This idea was fleshed out into Colorize. It takes in a search criteria, and then averages the colors returned in the first page of Google Image results to return a single hex color.

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Pearls Before Swine Indexer

I moderate the subreddit /r/PearlsBeforeSwine, and there are a bunch of posts from people trying to track down a specific comic from the past. After trying to help a few people, I figured there was a better way to do it: so I built the Pearls Before Swine Indexer.

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GamePlan

For my CS52 final project, our group worked on a web application called "GamePlan". It aims to solve the problem of connecting disparate groups of friends. You can create/join any group that you want (for example, work colleagues, a group of your friends, friends from high school, etc.), and then you can create posts to as many groups as you want. Each member will see the posts that they belong to, and if it's something that they're interested in, they can join the group to be placed into a chat with the other people who have joined.

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GroupmeAnalysis

A while ago, I wanted to look at some statistics for one of the GroupMe's that I was in. I looked around, and found GroupMe had an open REST API. I wrote a quick script to scrape all the data using my account, and I compiled it into some basic information: who had the most comments, who had the most likes, etc.

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