View the current site at - https://www.sound-drip.com/ View prior site at - https://music-meteorologist.com/
Sound Drip is a web application that has been a Green Build during the Labs20 (13th January 2020 - 6th March 2020) by LambdaSchool students. Each student fulfills a role in the project to collectively build the application. (Roles listed below)
Sound Drip provides music lovers with unique song recommendations based on Data Science functionality. Where A sophisticated Machine Learning model will try an predict songs you like better than the user could themselves; once a certain song is liked or not new songs will be populated for the user to listen and create a new playlist. For that to happen a lot of different characteristics of a songs are considered.
- 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
- Styled Components - Component Library/ Style Guide
- JWT - JSON Web Token for authorization and client side tokens for security
- Axios - Third Party API Calls
Role: Team Lead
Role: UX/UI Designer
Role: Full Stack Web Developer
Role: Data Scientist
This project is licensed under the MIT License - see the LICENSE file for details