Using Machine Learning to forecast climate changes in Pakistan

Local Project Lahore, Pakistan Chapter

Coordinated by the Lead of Pakistan, Amin Syed Arsalan,

Status: Completed

Project Duration: 29 Sep 2022 - 25 Oct 2022

Open Source resources available from this project

Project background.

The global climate crisis poses a number of threats to the well-being and prosperity of the people of the Islamic Republic of Pakistan. The country already witnesses several climate- and weather-related natural hazards due to its geographical diversity and a varied tropical, continental climate (hot summers and cold winters). Pakistan experiences recurring heatwaves and droughts, riverine and flash floods, landslides, and sea storms or cyclones. Climate change has the potential to trigger wide-ranging and strong negative feedback loops between livelihoods and health.

This project aim to build a forecasting model through which we can make possible solutions to take precautionary measures controlling the key factors for climate change.

The problem.

This project aim to build a forecasting model through which we can make possible solutions to take precautionary actions controlling the key factors for climate change.

Project goals.

• Gather Pakistan climate data. • Pre-process the data. • Exploratory data analysis(EDA). • Model development. • Visualisations. • Deploy the app using streamlit.

Project plan.

  • Week 1

    Data Collection (pre-week 1 even).
    Data Pre-Processing.

  • Week 2

    Building model and visualisation.

  • Week 3

    Building and deploying the app.

  • Week 4

    Preparing final documents and results.

Learning outcomes.

Create a novel solution from the data provided.

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