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| # | Team | App Name | App description |
|---|---|---|---|
| 01 | Irene Valdes, Benjamin Lyons | Quilo | QUILO is a collaborative approach to self-care. Users are a part of a team, and set out an individual goal about the amount of acts of self-care they will practice every week. Every day, if the user practiced self care they let the rest of the team know by responding to a daily challenge. The challenges are meant to be quick and fun, like posting a picture with your dog, trying a new form of exercise or sending a link to your favorite walking playlist. The team members make the challenges, so they will vary from team to team. At the end of the week, the person that got the closest to their self-care goals wins, and is rewarded according to what the team wants. The app will also have a "Resources" section, that educates users about different self-care practices and gives them resources to start positive habits like exercise, meditation, and journaling. |
| 02 | Nicole Camara, Vincent Goyette | Who won what | We chose a csv that holds information about all the Oscar award winners from 1927 to the present. The data is ordered year (int), category(string), winner(boolean), entity(string). Each line separates each entry. This data set is pulling from the academy awards database for the Oscars specifically which holds all the nominees whether they won or not. We then parse, create accounts, and provide data about the awards |
| 03 | Raj Mehta | Evolve | The application is a mix of fun game vibe with educational fusion, The application has support for IQ-battles with your friends. However the most intriguing feature is called "Lotus" where one can visualize connection building in a very future-ready way. As you learn courses through the app your avatar evolves, Hence the name Evolve. |
| 04 | Raj Mehta | NDin3D | An Augmented Reality (AR) application based on machine learning concepts (i.e image processing and image recognition) specifically designed for students at Notre Dame. The application facilitates image scan of many buildings/colleges in the University and gives the user an accurate 3D model with 4K textures. Not just that it also provides information about the particular building/college. |
| 05 | Molly Zachlin, Auna Walton | storyLine | Do you like reading or writing fiction but feel like you never have the time? We are creating a web app where users can post single lines of their creation, from books, from movies, etc. and other users can write brief stories, 1000 words or less, that include that single line. Our app will be a fun and inspiring way to read short pieces of writing and see different people's perspectives on the same initial starting point. Users can upvote stories or one liners they like, and follow writers they enjoy reading. |
| 06 | - | - | - |
| 07 | Jadrian Woods | Dance Flow | Dance Flow integrates a user's dance experience with personalized lessons that can completed anywhere. Additionally, it allows for users with varying types of dance backgrounds to use the app and improve upon their skills for many different dance genres. Dance Flow also utilizes motion detection technology that gives accurate and instant feedback to the users in order to allow them to learn the basics of dance with ease and enrich their overall learning experience. Overall, Dance Flow's design gives users access to a dance app that is easily to follow and easy to use. It allows for users to get the most out of their experience by giving them the freedom of customization and progress tracking. Through its quick and adequate feedback, Dance Flow creates a fun and engaging environment that allows for users of all skill levels to feel comfortable when improving their dance skills. |
| 08 | Stuart Hayden, Jake Hracho, Julia Buckley, Chris Hunt | Irish Fitness | Irish Fitness is a web application that seeks to bridge fitness tracking and student life at Notre Dame. One goal of Irish Fitness is to allow users to build and track healthy, nutritious meals using Campus Dining menus. These menus, including North and South Dining Halls as well as flex point options, are taken directly from Campus Dining sources so that they are accurate. Another goal of Irish Fitness is to allow users to create and track workouts using equipment that is available in on-campus locations such as Duncan, The Rock, or their dorm gym. Irish Fitness looks to serve as a student tool to promote health and well-being among Notre Dame students by emphasizing healthy eating and effective exercise. |
| 09 | Julia Agostino | Homegrown | When was the last time you could point to the items on your plate and successfully explain to someone exactly how, when, and where they were produced and who were they produced by? Me neither. This might not seem like a pressing issue for many, but our current methods of food consumption are a Pandora's box of environmental and health issues. Largely inspired by Michael Pollan's "The Omnivore's Dilemma" and a vested interest in the fight against food deserts, Homegrown makes eating fresh, locally grown food *that* much easier. Homegrown helps people execute the ideas they've only theorized about- it's farm to table at your fingertips. Homegrown intermediates between consumers and local producers. Think of this platform as UberEats for locally grown food. Homegrown lets consumers: - Search for a specific food item or vendor - Make in-app purchases from multiple vendors at once - Accommodate dietary preferences - Select delivery or in-store pick-up options - Educate themselves on the importance eating locally - Familiarize themselves with local producers and their environment - Find recipes curated to their purchases - Track their previous orders and map out food journey Homegrown lets producers: - Upload and manage their inventory - Track their sales and see other analytics - Interact with consumers You can get the full run-down here: https://www.behance.net/gallery/107660989/HomeGrown-Case-Study |
| 10 | Chase Brown | Visitor Management | This is an application developed to help retirement and assisted care living homes manage visitors during the wake of the pandemic. Its primary goal is to help schedule visitations and keep track of all on campus visitors. The application eventually pivoted to be implemented in a much more secure data center. While the underlying database schema and relationships remained the same, the front end was altered and several security features added to facilitate this change. Generally speaking there are three primary pages. The main dashboard where visitors in the system can be checked in, scheduled, and checked out. The user is able to search for visitors through one or more search fields including: first and last name, email, company, access, and email. There is also a simple button to filter for all visitors who are currently on campus, scheduled to be on campus, or have departed campus within the last 24 hours. The user is also able to edit a visitor's information and print them a badge upon arrival. The printing is handled by making a call to a locally running python server connected to a Dymo printer. The user can add a new Contractor, Guest, and Member (Visitor) through simple forms in the navigation bar. The Contractor and Guest entities are simply subclasses of the Member (Visitor) Class, they were both created after the pivot to better accommodate the needs of the data center. All forms are completely validated using regex to ensure consistency in data. The next page is the Visitor History page, this is where the user can look at a log of every single visitor including time of arrival and departure. They are able to filter the records based on similar fields as the main dashboard with the addition of being able to filter based on the time of arrival and departure. For auditing purposes a button was added to export all data as a csv. There is a full authentication system implemented to meet security compliances. A majority of the data moving between the backend and frontend is handled with streams (WebSockets) this way our users do not have to constantly refresh their dashboard to see data updated through another device. The frontend was built using Vue.js, backend using ExpressJS, and the Database is MongoDB wrapped by Parse. |
| 11 | Gaurav Raj | The Sixth Sense | This application is intended for people with visual impairments. The app would use the camera of the smartphone and use a machine learning algorithm to detect objects. Once it detects the objects, it can use the phone's speaker to speak out what exactly is the object. The person can wear earplugs to not disturb others. For instance, say I'm a blind person. I have my smartphone though. I can open this application and have the phone in my hand or my shirt's upper pocket and I can wear earplugs meanwhile. What this application would do is, it would use the algorithm to tell me what is in front of me. Say there's a tree or a car in front of me, it can tell that there's a car using the speakers/earplugs. This way, the application can help a number of people who need such an application. |
| 12 | Gaurav Raj | Hideout | This would be a very secure application and end to end encryption would be implemented (E2EE). Along with security, the app would have a feature of sentiment analysis wherein the sentiments of the users would be discovered/known using the previous chats of the users. |
| 13 | Michael Bsales, Matthew Chisholm | linkTroupe | LinkTroupe is a social media platform which is a place of accumulation for content of many different mediums. This platform allows you to share links to content from many different places, such as a social media, a song, an academic journal, or any other virtual medium. LinkTroupe will focus on building small groups of 10-20, as the best algorithm to help users find content they care about is another user with similar interests. The app aims to be a place for more nuanced and thought driven interaction with content from across the internet. Thus, it will maximize the time spent reading and digesting content and minimize user inputs and opinions on that content, allowing each user to read, listen, view, and fully understand the content before they engage with others on it. Additionally, the app will have an incentive structure that tracks time spent engaging with links and will provide scores to players for engaging with more content. We hope to reward communities that provide nuanced and thought-provoking content, and will continue to develop the mechanisms of that structure. |
| 14 | Samantha Cook | sorryFor | The sorryFor App is designed to help assist individuals throughout initial stages of the grieving process. Users can assess their feelings and well being on a daily basis, "write letters" to their loved one, and read articles that can better help them manage the grieving process. Moreover, users can easily locate a mental health facility nearby for further guidance. |
| 15 | Noah Mader, Patrick Creaven | Spotify Love Maker | A web application that calculates your compatibility with someone based on the Spotify music you listen to. The web application works by having two users sign-in to their Spotify account so that our application can make requests to the Spotify API to obtain the user data Spotify collects. It will use various metrics from this API and an algorithm to calculate a compatibility level. The web application will utilize unsupervised machine learning algorithms to learn how compatible two users are based on the genres, artists, and songs the user listens to on Spotify. The application will also allow users to send email invites to friends so that twi users can be on separate machines and the application will still function properly. This is ideal for a time like now when many people are still separate from their loved ones due to Covid. The web application will also include a few other standard pages such as a privacy policy page, an about page, a contact page, etc. |