Projects

Africa Youth Employment Clock

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The Africa Youth Employment Clock is a Mastercard Foundation project executed by the World Data Lab (WDL) to track and predict employment trends in Africa, and help policy-makers to make data-sriven decisions. At WDL, I led the data engineering and data science work for Ghana and Nigeria with sub-national granularity, including data acquisition, modelling and visualization, as well as presentations at the international launch events.

Live Web Application

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Used multilingual embeddings to build a RAG tool for running semantic searches across multiple documents in order to answer questions based on the said documents with compatibility for 100+ languages.
This project won 1st place in the #CohereAIHack

Streamlit Demo

CYI IT Projects (Tech Lead)

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CYI is a Christian youth development organization based in Accra, Ghana, with branches across Africa and Europe. I lead development on a number of WordPress projects and JavaScript projects linked by a central API built from the ground up.

GitHub Org

COVID-19 Policy Effectiveness Analysis

COVID-19 trends

Code repo for the paper: A global analysis of the effectiveness of policy responses to COVID-19. Published in Nature Scientific Reports

GitHub Repo

Smartcity Africa Sentiments

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Code repo for the paper: Highlighting smart city mirages in public perceptions: A Twitter sentiment analysis of four African smart city projects Published in Cities

GitHub Repo

Website Safety Analyzer

website-safety-analyzer

Fine-tuned an image classifier for detecting explicit sexual coontent. The model is wrapped in a script that scrapes every image from a given website and assesses the safety of the site for young visitors.

Gradio Demo on HuggingFace Spaces

Multi-WordCloud Generator, A Research Tool

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A utility for generating word clouds from multiple documents at a go, cutting down manual iteration time. The tool comes with integrated OCR text extraction using Pytesseract, allowing users to create word clouds from scanned PDF files.

Streamlit Demo

UNet Foreground Image Segmentation

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A TensorFlow project from 2020 using a modified UNet autoencoder architecture with MobileNetV2 weights to perform transfer learning for foreground image segmentation. The original usecase was polyp segmentation from colonoscopy images, but this was repurposed for foreground segmentation of everyday objects.

Github Repo

Publications

  • Agyapon-Ntra, K. and McSharry, P., 2023. A global analysis of the effectiveness of policy responses to COVID-19. Sci Rep 13, 5629.
  • Arku, R., Buttazzoni, A., Agyapon-Ntra, K. and Bandauko, E., 2022. Highlighting smart city mirages in public perceptions: A Twitter sentiment analysis of four African smart city projects. Cities, 130, p.103857.

Certifications