Even if one tries to stay at home as much as possible, leaving home is still often unavoidable. Visits to the grocery store, pharmacy, even the bank can be necessary parts of daily life that introduce risk for transmission and infection. While delivery services can often bridge the gap, they can often be too expensive or unavailable for many users and use-cases.

What it does

CrowdView: the social distancing helper, helps alleviate the issue by providing smart guidance to those who wish to navigate to the least-crowded public spaces, making it easier to practice safe and effective social distancing.

How I built it

React Native (Expo), Google Maps API, and VeraSat Data.

Challenges I ran into

Processing the large dataset provided by VeraSet, integrating location data, creating a smooth UI.

Accomplishments that I'm proud of

Drawing useful insights through the dataset and incorporating into the applicaiton.

What I learned

Big Data presents both opportunities and challenges. Optimizing the types of data displayed to the user is critical to improving the usefulness of the app.

What's next for CrowdView: Mapping People Density

Finish integrating the dataset, work towards using real-time data, and add additional features that enhance the user experience through more personalization and predictive analytics (such as Favorites, Most Visited, Suggested, Search, Navigation).

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