Financial Inclusion by Zambia in AI Community
Arduino Starter Kit
Predict who is most likely to have a bank account
6 data scientists enrolled, 1 on the leaderboard
Financial ServicesPredictionGood for BeginnersStructured
Zambia
22 May—23 May
24 hours

This is a private hackathon open to all Zambian participants who registered for the hackathon. If you would like to participate, send us an email at indabaxzambia@gmail.com. Alternatively, you can call or WhatsApp the following numbers: +260 95 6204874/ +260 972341 349.

Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.

Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa, and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enable households to save and facilitate payments while also helping businesses build up their credit-worthiness and improve their access to other finance services. Therefore, access to bank accounts is an essential contributor to long-term economic growth.

The objective of this competition is to create a machine learning model to predict which individuals are most likely to have or use a bank account. The models and solutions developed can provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes.

About Zambia In AI Community (indabaxzambia.wixsite.com/dlix2021)

The Deep Learning Indaba X is a gathering where people from different disciplines come together to share, network and most importantly learn about the latest advancements in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.