Seven (7)

• 

  Proposed Architect

• 

  FAMILY Response

• 

  Quicksight Dashboard

What stories are important to people Provide information that can help people make a decision to get involved A little of your involved can greatly improve someone's life

You can find the code here: https://github.com/patvin80/awshackday2019

Inspiration

Birds of a feather flock together: We all wanted to be part of a great Hackathon experience. We built a team without knowing each other and tried to learned new skills within a few hours of our engagement. We provided a winning solution by working as a team by bringing different skills on table # 7.

What and how we did it :

We had a great brainstorming session as soon as we selected the UNhcr as our Use case for this Hackathon. We had performed a quick review and analysis on provided dataset and came up with the different classification of the Persona type and associated sentiment.

Technology Selection :

-Refugee Dataset -Agile, Brainstorming whiteboard discussions -S3 -AWS Comprehend -AWS Glue, DynamoDB, Lamda -AWS Quicksight -AWS API gateway to use analytics data to target specific user base on Facebook, twitter or any social media (Recommendation as an improvement/future suggestion)

How we built it

Used above-mentioned technology for Entities Detection, Key Phrase detection, sentiment extractor. Provide the Persona type to the API and the result would be the story/article with the most impact. It also provides the source, story, and the persona specific "donate" link.

Challenges we ran into:

-Data Quality -Understanding the persona type -AWS tool selection for text analytics

Reference Documents for Hackathon

https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification-training.html

Built With

• amazon-web-services