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Winning web app prototyped for the Big Data & Analytics Association 2025 Project Series. Data Science & Analytics track.

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AvaS11/think4wellness

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Exploratory Data Analysis

Daniel Tran and Ava Scheerer developed multiple visualizations throughout their analysis of Kaggle's Digital Lifestyle Benchmark Dataset.

Explore our EDA code here: https://github.com/danielxtran/BDAA_2025_EDA.

BDAA 2nd Annual Research Gala

The team presented this project at the Big Data & Analytics Association's 2nd Annual Research Gala in December 2025. The project was awarded 1st in the Data Science & Analytics track, as well as the Students Choice Award.

Learn more about the event and our project here: https://medium.com/@ohiostatebdaa/innovation-in-action-highlights-from-the-2nd-annual-bdaa-research-gala-248f22e76058.

Lovable Development Info

URL: https://lovable.dev/projects/0e6debd5-2495-4f8e-8c69-16567c8e2d09

Use Lovable

Simply visit the Lovable Project and start prompting.

Changes made via Lovable will be committed automatically to this repo.

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If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev

Edit a file directly in GitHub

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What technologies are used for this project?

This project is built with:

  • Vite
  • TypeScript
  • React
  • shadcn-ui
  • Tailwind CSS

How can I deploy this project?

Simply open Lovable and click on Share -> Publish.

Can I connect a custom domain to my Lovable project?

Yes, you can!

To connect a domain, navigate to Project > Settings > Domains and click Connect Domain.

Read more here: Setting up a custom domain

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Winning web app prototyped for the Big Data & Analytics Association 2025 Project Series. Data Science & Analytics track.

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