The Ohio State University's Big Data & Analytics Association hosts a semester-long project series that provides its members with an opportunity to gain hands-on experience with various technical skills. This repository contains Daniel Tran and Ava Scheerer's code written to conduct exploratory data analsysis on Kaggle's Digital Lifestyle Benchmark Dataset.
The insights derived from this EDA were utilized to develop "think." This digital, mental health based, habit tracker was built with Lovable to improve user’s lives by providing users with necessary resources and accountability metrics.
Explore the product: https://think4wellness.lovable.app/
Explore the code: https://github.com/AvaS11/think4wellness
The team presented this project at BDAA's 2nd Annual Research Gala, where peers and industry leaders were invited to learn about and judge student projects. At the gala, "Stop to Think: How Does Your Phone Affect You?" was awarded 1st in the Data Science & Analytics Track, as well as the Students Choice Award.
Learn more about the event and project here: https://medium.com/@ohiostatebdaa/innovation-in-action-highlights-from-the-2nd-annual-bdaa-research-gala-248f22e76058