GiftSprint

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Inspiration

The inspiration for GiftSprint came from the common challenge many people face when trying to find thoughtful gifts on short notice. Observing friends and family struggle with decision fatigue and the overwhelming number of options available, we aimed to create a solution that simplifies the gift-giving process, making it easier for users to find meaningful gifts quickly.

What it does

GiftSprint is a web application that helps users find suitable gift suggestions based on nearby stores. It provides personalized recommendations tailored to the user's location, the recipient's profile, and specific gift ideas, ensuring users can find thoughtful gifts even when pressed for time.

How we built it

Frontend: Developed with React to create an intuitive user interface that allows users to input recipient details and browse gift suggestions easily.
Backend: Utilized Node.js with Express to handle API requests, including endpoints for fetching nearby stores and generating gift suggestions.
APIs: Integrated the Google Places API to retrieve nearby stores based on the user's location and OpenAI's API to generate creative gift ideas based on user inputs.

Challenges we ran into

Data Accuracy: Ensuring accurate store data was crucial, so we focused on validating API responses and incorporating robust error handling to manage any discrepancies.

Accomplishments that we're proud of

We are proud of successfully creating a seamless user experience that allows users to quickly find personalized gift suggestions. The integration of geolocation and AI technologies has resulted in a practical tool that effectively addresses the needs of last-minute gift-givers. Additionally, the positive feedback from initial users has validated our approach and the app's usefulness.

What we learned

Throughout the development of the GiftSprint, we learned the importance of user-centered design and the value of integrating real-time data to enhance user experience. We also gained insights into managing API interactions and the significance of implementing effective error handling to improve application reliability.

What's next for GiftSprint

Looking ahead, we plan to enhance GiftSprint by:

Adding features for sharing gift ideas with friends and family.
Continuously gathering user feedback to refine and improve the app's functionality and user experience.

Built With

Submitted to

United Hacks V3

Created by

I worked on the backend. I implemented the Open ai and google cloud api's to use for the project, as well as linked the front end to backend.

praise olatide
I integrated geolocation into the map using the browser’s `navigator.geolocation` to obtain the user's coordinates, which are then passed to a function that calls the Google Places API to fetch nearby stores. Additionally, I implemented error handling to manage issues such as failed location access or API request errors.

William Lee
Gerald Ang
Damian Phimister

Updates

Gerald Ang started this project — Sep 08, 2024 12:46 PM EDT

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