Matching Items (4)
Filtering by
- All Subjects: Applications
- All Subjects: Website
- Creators: Ahmad, Altaf
Description
The Wish List is a website that allows users to input URLs of products that they like into a wish list, much like Amazon's Wish List. The website also connects users to their Facebook friends who also use the application, so that users can view their friends' wish lists and "claim" products that they've purchased. This makes the Wish List like a registry as well. This report documents the functionality and the structure of the website, but the website itself is not yet released to the general public.
ContributorsChesley, Bryana Renee (Author) / Ahmad, Altaf (Thesis director) / Prince, Linda (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2014-05
Description
Veelog is an Android application created to monitor and track data regarding maintenance for an individual's personal vehicles. For instance, most car owners change their oil every 10,000 miles or so. The application will help track this data, allowing users to identify their own range of how often a service needs to be completed and provide helpful information when the need comes around. The goal of the application is to provide a platform for individuals to record, use, and save information relevant to themselves as the owner. By ensuring that there is space for the data to be recorded and properly tracked, car owners can take initiative in providing preventative maintenance for their vehicles. The idea for the application originally came from observing many individuals who keep a notebook in each of their vehicles for recording and keeping track of maintenance schedules manually. Veelog is a solution that keeps all maintenance manuals in one place, with the additional benefit of calculating upcoming services automatically. Veelog users can also make customizations to their profiles including custom services that are specific to their own needs. The target users for Veelog are individuals who want to be proactive in servicing their vehicles. The application requires frequent checking and regular updates to stay current and provide accurate information for upcoming services. Being proactive about vehicle maintenance provides long term benefits such as preventing serious car trouble, which ultimately results in saving money and staying safe and makes the application worth the extra attention. Ideally, individuals who have not previously been proactive about vehicle maintenance will also be encouraged by the convenience that Veelog provides.
ContributorsKnorr, Jeremy Joseph (Author) / Ahmad, Altaf (Thesis director) / Olsen, Christopher (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This thesis paper contains all the information, processes, and scripts used to create the final SQL database and website for use by University Housing at Arizona State University. This project aims to resolve problems currently facing University Housing's Community Assistants with their resource distribution and processes.
ContributorsZugelder, Micayla Ann (Author) / Moser, Kathleen (Thesis director) / Ahmad, Altaf (Committee member) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05