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Music Meteorologist Frontend

View this site at - https://music-meteorologist.com/

Music Meteorologist is a fullstack web application that has been built during the Labs15 (1st August 2019 - 30 September 2019) by LambdaSchool students. Each student fulfills a role in the project to collectively build the application. (Roles listed below)

Music Meteorologist provides a web application where users can play a guessing game and get to know themself better. A sophisticated Machine Learning model will try to predict better than the user itself if a certain music song will be liked or not. For that a lot of different characteristics of a songs are considered. At the end the user can revisit the assessment of the model and give feedback about its correctness. To deliver this experience a Node.JS Backend and a React.JS Frontend were built.

Example

Built With

  • JavaScript - Language used to make the webpage interactive
  • React - Front end framework for building single page apps
  • React-Router - Used for routing in react projects
  • Redux - State management for React
  • Recharts - Data Visualization tool
  • Material-UI - Component Library/ Style Guide
  • JWT - JSON Web Token for authorization and client side tokens for security

Authors

Role: Team Lead

Role: Full Stack Web Developer

Role: Data Scientist

License

This project is licensed under the MIT License - see the LICENSE file for details