Using AI for Stress Recognition in Modern Day Office
July 27th, 2021

In this article, we will be addressing one of the most significant modern society problems, which is work stress. A lot of people have talked and are still talking about this, but you know we like to tackle things differently here. So we will be using Machine Learning m

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Estimating Electricity Demand of Sub-Saharan Africa Using AI
July 8th, 2021

Sub-Saharan Africa has 600 million people who do not have access to electricity. In this study, we have been able to go beyond typical kWh/m² benchmarks and provide two linear models that can estimate residential electricity demand given a household’s monthly income

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Using Causal Inference: How Can AI Help People Slow Their Aging Down
June 16th, 2021

In this article, Omdena’s team uses Causal Inference, a powerful modeling tool for explanatory analysis, on multivariate observational datasets and Machine Learning, to predict the exact “path” of actions or set of daily actions introduced into oneR

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Using Streamlit Dashboard to Predict Infrastructure Needs in Africa
May 25th, 2021

  African governments are using significant portions of public budgets to finance infrastructure, but that infrastructure often responds to past or current needs, not future needs based on expected changes related to climate change, migration, urbanization, etc. In

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Advanced EDA of UK’s Road Safety Data using Python
April 27th, 2021

How to identify the number of car accidents and casualties through the day, and around the hour? This is a  guide to performing advanced EDA (Exploratory Data Analysis) on UK’s road crash data around the hour using Python. This case study was a part of Omdena’s AI

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