AI for Solar Energy Adoption in Sub-Saharan Africa
July 23rd, 2021

There is a rising demand of electricity access in households and communities with likely 70% of this demand covered by solar energy! This article describes how an Omdena team created two dashboards in an AI challenge with impact startup NeedEnergy .  One dashboard f

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Understanding Youth Sentiments Through Artificial Intelligence
July 13th, 2021

In this article, we implemented a Data Analysis pipeline to understand youth sentiments, analyzing aspirations, fears, and thoughts of the youth through scraping the web and youth-led media. Going through their sentiment analysis during the pandemic and around different

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Predicting the Important Factors of a Successful Startup using SHAP Value
July 12th, 2021

A step-by-step guide on creating the machine learning model to help startups’ investments strategies by using a SHAP (SHapley Additive exPlanations) value to understand the contribution of each feature into the model, and the importance of each factor to a success

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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 Predictive Modeling: A Data Driven Approach To Impact Investment Strategies
June 18th, 2021

A predictive modeling approach from web scraping, data preparation and dataset building to an easy-to-use app deployment to identify best startups investment strategies.   Authors: Samruddhi Mhatre, Ruthvika Mohan, Aryan Gulati, and Urvi Chaudhary    Impact i

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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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