4 steps to building a natural language search tool

A developer has created a single-page application to improve the efficiency of searching through United Nations resolutions, significantly easing the time-consuming process for organizations like the International Committee of the Red Cross. This application, available at resolutions.projectrefuge.io, uses Amazon Textract for text extraction, MongoDB Atlas for storing search-ready data, and a Vue.js front end for user-friendly natural language queries. The backend is hosted on AWS, ensuring scalability and performance. The initiative serves as a model for leveraging technology to improve access to critical information, demonstrating the power of open-source solutions for nonprofits and encouraging developers to contribute to humanitarian and public policy advancements. The project underscores the importance of open-source collaboration, offering a blueprint for organizations to build tailored solutions and encouraging developers to engage in impactful work through platforms like GitHub for Nonprofits and For Good First Issue.

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