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atmos-trend's Introduction

Overview

AtmosTrend: Craft an intuitive and engaging UI with Tailwind CSS, while utilizing GraphQL to optimize data querying, resulting in a responsive and high-performance application across devices. Integrate geolocation technology for hyper-localized, real-time weather data including UV index, temperature, rainfall, and humidity.

MVP

  • AtmosTrend will feature a page where you can pick a country, city and state to fetch the weather. ✔️
  • Use chatGPT to generate a weather summary ✔️
  • AtmosTrend will be responsive on mobile, tablet and desktop. ✔️

Libraries and Dependencies

Library Description
Next.js Full-stack client and server
Axios NPM Package to help make API requests
Open AI NPM Package to interact with the openai api
Tailwind Front-end css framework
StepZen Build GraphQL Easily Optimize & Scale GraphQL Automatically
Tremor React component library

atmos-trend's People

Contributors

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Stargazers

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