Iris Classifier é uma aplicação cujo objetivo é prever a classe da flor de Iris com base nas medições informadas pelo usuário. A predição ocorre através de uma rede neural desenvolvida em Python.
The project contains the following functionalities:
- Python neural network API 🧠
- This API receives some parameters about the measurements of the flower and based on that it make the prediction of its class.
- Its are created by my friend Lucas Bivar
- To read more about the API, access the repository: Iris Classifier API
- Light e Dark Themes 🌞🌚
- The theme is saved in localStorage and is automatically switched
- Formulary validation with Formik and Yup 📄✅
- The submission does not make a request if the input fields are invalid
- Animations with Lottie 🪐
- Loading the result and changing the theme with fluid animations
- Animated background with particles.js ✨
- The website background contains a special animation created using particles.js
To clone and run this application, you'll need Git, Node.js v10.16 or higher + Yarn v1.13 or higher installed on your computer. From your command line:
# Clone this repository
$ git clone https://github.com/joaovictornsv/iris-classifier
# Go into the repository
$ cd iris-classifier
# Install dependencies and run the server
$ yarn install
$ yarn dev
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
- ⚖️ MIT License - About
Made with 💙 by João Victor