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A web application to visualize historical weather trends and predict future weather patterns using OpenWeather data and TensorFlow.

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wirtaw/TensorWeather

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TensorWeather

Description

A web application to visualize historical weather trends and predict future weather patterns using OpenWeather data and TensorFlow.

Created to participate in The OpenWeather Challenge

Features

  • Fetches historical weather data from the OpenWeather API.
  • Cleans and preprocesses data for use in a TensorFlow model.
  • Trains a time-series forecasting model to predict future weather patterns.
  • Visualizes historical trends and predictions in an interactive web interface.

Getting Started

Requirements

  • node v20.10.0 (LTS)

  • npm v10.2.3

  • Prerequisites:

    • Node.js and npm (or yarn)
    • A valid OpenWeather API key
  • Installation:

    • Clone the repository
    • Go to application folder cd application
    • Run npm install

Usage

Brief instructions on how to run the backend (NestJS) and the frontend.

Tech Stack

  • Backend: NestJS, TensorFlow (or TensorFlow.js), OpenWeather API
  • Frontend: VueJS

Contributing

If you're interested in contributing, please read the contributing guidelines

License

MIT

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A web application to visualize historical weather trends and predict future weather patterns using OpenWeather data and TensorFlow.

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