Garbage Classification V.2

Context & Challenge

This project is expansion final capstone project from MBKM SIB Batch 1 Programs, Learning Path Machine Learning and Front-End Web Development at Dicoding Indonesia. Building a Web-based Garbage Classification Application with Machine Learning and Front-End Web Development. In 2022, we decide to develop again. We implementing Transfer Learning method using Pre-Trained Model MobileNetV2. On the Web, we are also developing it again by implementing the React.js library to make it easier when you want to develop again because it has the convenience of implementing the concept of highly reusable components. We also redesign the interface to be more interesting and also improve the user experience when accessing the web applications that we make.

Architecture & Scope

1. The solution can be made using a platform that is suitable for learning in the Dicoding SIB.
2. All decisions and evaluations of the Challenge winners are final and cannot be contested.
3. The solution is a new solution that has never won a challenge on Dicoding or a similar competition.
4. The solution is made by participants and does not commit plagiarism or violate the Intellectual Property Rights of other Creators/Developers.
5. Works can be made individually or in teams. Each individual/team can submit one work.