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Greenhouse Gas Emission Forecast Application (Prototype)

This application helps all the stakeholder to be prepared, design and execute plans to eliminate or reduce the gas emission in advance.

Categories

Web Apps, Time Series

Date

September 25, 2022

Challenge

Predicting Greenhouse Gas Emission by different sectors is vital for the environment.

Solution

This application helps all the stakeholder to be prepared, designed and executed plans to eliminate or reduce the cause in advance by using machine learning. The application is built after completion of 5-Course R-Track System.

case-details

View Demo Dashboard

Project Requirements

✅ Shiny Web Applications

✅ HTML and CSS

✅ Greenhouse Emission Forecast using Machine Learning Algorithms (ARIMA | Prophet)

✅ Geographic Visualization within the App