RayReport

UV Index Chat App

Welcome to our project for Hack Princeton 2023! 🚀

Overview

Our project is a Next.js and Node.js-based web application that provides users with real-time UV index information based on zip codes. Users can input a zip code, and our application will return the UV index along with personalized suggestions for outdoor activities, considering the current UV conditions.

Features

• UV Index Chat View: Users can interact with the app by sending a zip code, and the app responds with the corresponding UV index and tailored recommendations for outdoor activities.

• Year-long UV Index Graphs:

  • New York (1 PM EST):

  • California (1 PM PST):

  • Both graphs provide a year-long view with 20 and 25 data points, respectively, showcasing the UV index trend. Both graphs max out at a bit above 3 around the summer time.

APIs Used

Our project integrates three powerful APIs to enhance its functionality:

1. GPT AI API: We leverage GPT (Generative Pre-trained Transformer) AI for natural language understanding and interaction in the chat feature.

2. OpenUV.io API: OpenUV.io provides accurate and up-to-date UV index information, ensuring the reliability of our app’s data.

3. OpenWeather API: OpenWeather API is used to fetch weather-related information, complementing our UV index data.

Getting Started

Deployment and how to access it here

Slides

https://docs.google.com/presentation/d/1lS5ZAYUY6byKdD-ql-8axp-PTdYk6iP6ZlDGdjMLlVM/edit#slide=id.p

Contributors

• Dulina Gunasekara: Dulina Gunasekara’s Github
• Matthew Shvorin: Matthew Shvorin’s Github
• Aurnab Das: Aurnab Das’s Github
• Mahathir Rojan: Mahathir Rojan’s Github![Screenshot 2023-11-12 at 05-17-13 Create Next App]

Acknowledgments

We would like to express our gratitude to the organizers of Hack Princeton 2023 for providing this exciting opportunity.

##Pictures