Elizabete Kalnozola Manager   •   about 3 years ago

PETRONAS

Prize - Apprenticeship for Fresh Graduate and Working Adults based in Malaysia

There are 8 different types of publicly-available PETRONAS reports (i.e. Integrated & Annual Reports, Financial Reports & Sustainability) These reports contain a wealth of information, but their complex format and large volume make it challenging for users to quickly identify key topics and generate insights. How can we use Microsoft AI-related services to develop a solution that can automatically extract and organize relevant information from these PETRONAS reports to help users quickly find and understand the topics that they are interested in?

Success Criteria:

Leverage on Microsoft AI-related services to extract and categorize text and images from PETRONAS reports, and identify key topics within each report.
The scope for this hackathon is on Integrated & Annual Reports and Sustainability. However any additional reports that can be included in the solution will be considered a bonus.
Develop a landing page with search bar that utilizes Natural Language Understanding (NLU) to allow users to search for topics of interest within the reports
Upon a search query, the tool should surface relevant documents related to the query and highlight specific keywords from the content across multiple reports.
The tool should also generate a visual representation of relevant entities in a knowledge-graph with their relationships to help users better understand the context of the topics they are interested in.
Resources - https://www.petronas.com/media/reports

Hint: Cognitive Services