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@@ -82,7 +82,7 @@ We used the Azure Language REST API to programmatically classify headlines that
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We deployed the backend server on Azure Web Apps from Node.js. Our backend server consisted of two custom API endpoints that we created for querying the [months data](https://sotwserver.azurewebsites.net/months/1/2024) from the database, as well as fetching [annual CO2 emissions](https://sotwserver.azurewebsites.net/co2) of countries.
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These API endpoints are live at `https://sotwserver.azurewebsites.net/months/{month}/{year}`, and `https://sotwserver.azurewebsites.net/co2` respectively.
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These API endpoints are live at `https://sotw.azurewebsites.net/months/{month}/{year}`, and `https://sotw.azurewebsites.net/co2` respectively.
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_Note: The month data was only mined for the year 2024._
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@@ -131,7 +131,7 @@ The tech stack for the project includes:
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<h2id="installation">Installation and Usage</h2>
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The website can be accessed at http://stateoftheworld.vercel.app/ <br>
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The data can be accessed at https://sotwserver.azurewebsites.net/months/ ... followed by the required month and year
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The data can be accessed at https://sotw.azurewebsites.net/months/ ... followed by the required month and year
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You can also build the website from source locally:
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