VarietyShoppingHour

("Shopping's Golden Hour finally has some variety!")

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Table of Contents

1. About the Project
2. Features
3. Getting Started
4. License
5. Team
6. Acknowledgements

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About the Project

This project is a hackathon-built wishlist app in which you can organize shopping items and retrieve them with the help of suggestions from Gemini AI - a tool we put together in 36 hours at ShellHacks 2025.

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Features

Add entries to your wishlist

Update entries in your wishlist

Delete entries from your wishlist

Filter wishlist using Gemini AI

Make your wishlist with the lights off

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Getting Started

git clone https://github.com/EmptySet-Exe/VarietyShoppingHour.git

Front-End

cd ./frontend

Back-End

cd ./backend

Install dependencies:

npm i

Note

You need to create a .env file that holds you MongoDB URI, BACKEND_PORT (otherwise, default 3000) and GEMINI_API_KEY.

To start the app in dev mode:

npm run dev

For production mode:

npm start

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Team

Developers

• GitHub:
  • @Roberto Hogas Goras
  • @Shanmukha "Hershey" Harshith Karamala
  • @Ritesh Hattarki
  • @Surpris "Jack" Mezardieu

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Acknowledgments:

We would like to thank the following individuals and resources for their contributions and inspiration:

• INIT: For showcasing this project at the annual hackathon ShellHacks.
• University of Florida: For providing means of travel between Gainesville and Miami to attend this event.
• Florida International University: For hosting the event and providing lodging, catering, and amenities.
• The Sponsors: For helping to make this event possible and presenting opportunities for career development.
• GitHub: For hosting this project and enabling collaboration.
• freeCodeCamp.org: For educational tutorials that guided many of the implemented features.
• Stack Overflow Community: For countless solutions and advice during development.