Navigate through a small dataset of smartphone users self-reported usage. Gain insight into addiction levels and how that may affect sleep or productivity.
Frontend: Vite+React, hosted on Vercel. Backend: FastAPI, hosted on FastAPI Cloud; PostgreSQL database hosted on Neon.
Dataset comes from KaggleHub under Public Domain license. https://www.kaggle.com/datasets/algozee/smartphone-usage-and-addiction-analysis-dataset
Claude Code was utilized in the implementation of this project.
The landing page exposes a few KPIs to get a sense of the scope and variety of datapoints available. It should be
clear when on this page what the dataset is, what the purpose could be, and the breakdown of data.
Head over to Deep Dive to check out a few pre-selected sets. These are all 10th percentile slices of the dataset.
Lastly, check out the explore page to craft your own, simple subset of data and export it for your own investigations.
This is a personal project with the aim to increase my understanding of cloud hosting, Continuous Integration/Continuous Delivery, and improve my organizational skills on larger projects.