Underdiagnosis of cognitive impairment is a major healthcare problem. During the pandemic, patients can’t visit doctors in person since the diagnosis is mainly done in large hospitals. These diseases range from mild cognitive impairment to more severe cases of dementia. Recently, there is also evidence of neurological problems for patients with Covid19. Current assessment for cognitive impairment is done on-site and mostly requires neuropsychological experts, which are in short supply, to get an accurate diagnosis. This project aims to build a cognitive assessment app that integrates user’s information and their background for a back-end machine learning model to predict their cognitive status.

Due to the ongoing COVID-19 pandemic, leaving one's home poses a potential exposure risk, but this risk is not so readily quantified. We have developed a solution that provides users with a forecast of the COVID-19 outlook in their area. Much like how one quickly checks the weather forecast before leaving home, it is our hope that users will check COVIDcast before leaving for their destination. The primary aim of our application is to keep users safe and healthy. Accordingly, we present users with a list of alternative destinations that may pose a lower COVID-19 exposure risk based on real-time data.

Dystic is an app solution for individuals with disabilities to find jobs that can satisfy their unique requirements. Taking advantage of the latest AI technologies, our Dystic app represents an opportunity for this cohort with a multi-pronged intent: a job search interface suitable for everyone, including individuals with disabilities, an AI Resume Builder, and an easy-to-use chatbot to help them on their journey.

In the midst of battling a global health pandemic, we are also fighting a wave of “infodemic”, i.e. the spread of incorrect information about the coronavirus. For fact check queries specific to COVID-19, current tools are either rule-based, where the user has to read through a large webpage or produce answers that are unrelated to the search query. In both cases, the search results lead to confusion for the average user who is not able to understand the returned information easily, leading to the spread of misinformation about the disease. In our submission, FixingBad we take a step towards creating a fact-checking tool for COVID-19 that uses machine learning and language processing along with google cloud APIs to answer user queries reliably in a concise fashion.

HotSpot is a live COVID-19 location based contract tracing iOS mobile app that alerts users of confirmed cases in nearby retail stores using geofencing and predicts the number of COVID-19 cases on a given day using machine learning.

With virtual school (yay Zoom!) and no in-person social events (rip Beta Apple Pie), it was hard to meet people with similar interests in your classes so you could be project partners/study buddies/friends. hubble takes care of all of this with a custom matching algorithm that lets you know how similar you are to other students based on similar courses, interests and who they are!

Mask Mandator is a campus-wide system that enforces the proper usage of PPE, like masks, before entry into common areas and other population dense buildings. 

MaskIt acts as your mask usage guide by keeping track of the masks you’re using and giving you the ability to choose from a database of multiple masks, the one which will be the most suitable for your activity.

Our project is the perfect place for those stuck in quarantine to find COVID-19 friendly activities, CDC twitter updates, and see where and how to support their local hospitals. 

COVID-19 has caused many institutions and businesses to transition their staff to a remote setting. However, as a result of this, students and workers are now required to be in front of a computer almost all the time. Many people need to be on a computer to complete assignments and projects, which require them to sit for hours a day. Unfortunately, having to sit for so long can lead to many physical health issues. These can range from many issues such as neck strains, back pain, and knee pain. Sources such as the National Health Service of UK, and PainScience, have recommended a maximum of 30 minutes of sitting at one go. However, this number is always exceeded. To solve this issue, I decided to develop a web application that utilizes deep learning to track if users are sitting or standing. If the application detects that the user has been sitting for more than the recommended time, an alarm or notification will be activated to notify the user to stand. For reinforcement, this alert will continually be activated until the app detects the user has stood up. The overall goal of this is to prevent users from sitting for prolonged periods of time.

TaskMate is a new way to incentivize children and young adults to look forward to their daily tasks. Most task completion apps are variations on the same thing: a list, however pretty, of things one needs to complete. When one is presented with this standard list, one sees their day as a drab succession of chores, and no one is more negatively impacted by this than a child. This dilemma was further worsened by COVID-19, in which more parents needed to rely on task completion software to get their many kids to complete their many chores without adult supervision.

Enter TaskMate. With our app, a child can enter their tasks for the day, and an interactive pirate map is generated before their eyes. This child can specify the task’s ideal completion time and any links or notes needed for its completion. The child can change their pirate ship, or even use a spaceship to navigate the generated map, and can also receive notifications to remind them to complete their tasks before a certain interval. TaskMate was designed with children in mind, including bright colors and a unique pirate theme, while also incorporating sophisticated task completion functionality that even adults can get behind. With TaskMate, your tasks are no longer chores: they are an adventure. 

Unified Blood Donation App connects new and current blood donors across a given area, saving time by redefining the appointment process with the introduction of QuickID, a QR code based data retrieval system. aggregating various blood banks together, and encouraging donors to be consistent by gamifying their experience and showing their impact to current crises and areas of need.

At least 30% of people diagnosed with COVID-19 continue to have symptoms more than 3 weeks after initial onset (known as “long COVID”). Our project is a platform for patients, clinicians, and researchers - patients can keep track of symptoms and receive support, clinicians can use the data to help them manage their patient’s condition, and researchers can help us better understand the long term effects of COVID-19. Our software is open-source and can also be extended to other conditions as well.