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@Techwaste

Techwaste

A convenient way to manage your electronics waste.

A convenient way to manage your electronics waste.

The SPEECH OF THE YEAR

In 2021, Indonesia generated an estimated 2 million tonnes of e-waste, which is the most in Southeast Asia. Our goal is to develop an app that can assist individuals in identifying and managing electronic waste effectively.

Purpose-driven :

  • Decrease e-waste's adverse effects and raise awareness
  • Establish drop points and a forum marketplace for managing e-waste
  • Empower users and promote environmental health

Our Team

Bangkit ID Name Learning Path Profile
M335DSX1291 Daniel Budi Prasetyo Machine Learning
M335DSX2127 Paulus Caesario Dito Putra Hartono Machine Learning
C151DSY3566 Ghina Raihan Fadhilah Cloud Computing
C335DSX4878 Ong Gabriel Riverine Susanto Cloud Computing
A131DKX4424 Arif Dwi Nugroho Mobile Development
A169DKX4044 Muhammad Rafli Chandra Mobile Development

App Showcase

Machine Learning Demo

https://bit.ly/ml-techwaste

App Demo

https://drive.google.com/file/d/10i52-0dJz4fIh3BtYg1PCg6QzIfozfe5/view

Youtube Link

https://youtu.be/sUSjhU3-FDk?t=283

Special Thanks to :

mas adri for being the best mentor ever <3
pandu-sama for giving meaningful quotes and insight <3

Popular repositories

  1. try-deploying-model try-deploying-model Public

    Experimenting with deployments on the model (boilerplate for cloud computing)

    Python 2

  2. develop-model develop-model Public

    Machine Learning Model Development

    Jupyter Notebook

  3. e-waste-model-deployment e-waste-model-deployment Public

    Repository for prediction endpoint deployment

    Python

  4. .github .github Public

  5. MD-Techwas-Mark02 MD-Techwas-Mark02 Public

    Mobile Development part of Techwaste

    Kotlin

  6. machine-learning-preview machine-learning-preview Public

    Web app for the demonstration of Techwaste machine learning thingy

    Python

Repositories

Showing 7 of 7 repositories

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