Chapa Artificial Intelligence Research

Chapa is  

From our products to our open-source platforms, we’re working to ensure that the benefits of AI are accessible to everyone. We are committed to advancing the field of machine intelligence and are creating new technologies to give people better ways to make transactions. In short, to solve AI.

About Chapa AI Research

Chapa Artificial Intelligence researchers seek to understand and develop systems with human-level intelligence by advancing the longer-term academic problems surrounding AI. Our research covers the full spectrum of topics related to Finance, AI, and to deriving knowledge from data: theory, algorithms, applications, software infrastructure and hardware infrastructure. Long-term objectives of understanding intelligence and building intelligent machines are bold and ambitious, and we know that making significant progress towards AI can’t be done in isolation. That’s why we actively engage with the research community through publications, open source software, participation in technical conferences and workshops, and collaborations with colleagues in academia.

See our works

Our Research

Non Performing Loan (NPL) Prediction

Predicting the probability of non-performing loans for individuals has a vital and beneficial role for banks to decrease credit risk and make the right decisions before giving the loan.

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NPL Prediction

Predicting the probability of non-performing loans for individuals has a vital and beneficial role for banks to decrease credit risk and make the right decisions before giving the loan.

Mygerd Report

In this short report we have gone through analysing donors behaviour, people's feelings about the donation platform and different statistical reports in general. We tried to answer most of the questions that could be asked regarding the donation platform.

Eyezon Report

In this report, we walk through a summary of donors’ behaviour, transactions’ behaviour, and people’s reflection on social media about the donation platform.

NLP on GERD

We used of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states about GERD (Great Ethiopian Renaissance Dam)

NLP on Eyezon

We used of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states about Eyezon Ethiopia