HackStack

Project Info

Study.AI

Devpost

This project did not submit a demo video on Devpost.

Inspiration

We were inspired by study platforms like Quizlet and Pomodoro timers, and wanted to come together to create our dream website that combined all their great functionalities!

What it does

StudyAI is a comprehensive study platform where you can schedule to-dos, time-block your studying with Pomodoro timers, and upload your notes to receive custom, AI-powered practice questions and flashcards.

How we built it

We utilized MongoDB Atlas, Google's Gemini API, ExpressJS, Node.js, and Auth0 for the backend. Our frontend was designed with ReactJS, CSS, and SCSS.

Challenges we ran into

We all came in not knowing how to use MongoDB/MongoDB Atlas or APIs, and two of our group came in not knowing how to use ReactJS, so we had to learn how to use these on the fly within our limited timeframe. Moreover, it's our first time developing a full-stack app, so managing things between both ports involved a learning curve.

Accomplishments we're proud of

We all communicated very well in regards to project roles, timelines, and expectations. Additionally, we're committed to learning the material and working together to make a polished final product.

What we learned

Our group members all came out of this experience having learned something new: whether it be website design, working with APIs, or staying awake for long hours!

What's next

for StudyAI In the near future, we hope to round out our database query functionalities and further polish the UI. Looking to the future, we hope to improve our AI capabilities to help a broader range of students reach their academic goals.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • ExpressIn code
  • Google GeminiIn code
  • HTMLIn code
  • JavaScriptIn code
  • MongoDBIn code
  • ReactIn code
  • Tailwind CSSIn code
  • Node.jsClaimed

8 of 9 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

80 KB

Source files

25

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars