The Knowledge Mining Search Tool was developed by inmind.ai for the United Nations ESCWA.

Background

The Economic and Social Commission for Western Asia (ESCWA) manages an extensive and ever-growing collection of documents related to critical global initiatives, including the 17 Sustainable Development Goals (SDGs). ESCWA required an advanced solution to automate the classification of these documents and accurately rank their relevance. This need stemmed from the complexity of managing large datasets and the challenge of ensuring timely and efficient access to vital information for research, policy development, and decision-making.

Challenge

ESCWA faced the challenge of processing and organizing massive volumes of text-based documents in multiple languages. The solution needed to be a highly accurate and scalable machine learning model capable of handling diverse document types while automatically classifying and ranking them based on relevance. Additionally, the tool had to offer seamless usability for researchers and policymakers, ensuring that important information could be accessed quickly and efficiently across various linguistic contexts.

Solution

Inmind.ai designed and developed a cutting-edge tool powered by advanced machine learning algorithms to automate document categorization and relevance ranking. The system intelligently processes vast datasets, analyzing content based on predefined subjects, syntax, and contextual relevance. By supporting multilingual capabilities, the solution enables users to efficiently search, filter, and interact with documents in various languages, significantly enhancing research workflows and content discoverability.

Impact

Deployed as a standalone application, Istishara has transformed how ESCWA manages its vast document inventory. The tool features an intuitive and user-friendly interface, allowing users to navigate, access, and interpret complex data easily. By automating document classification and relevance ranking, Istishara has streamlined research processes, improved document accessibility, and empowered ESCWA to make more informed decisions aligned with their sustainable development initiatives.