We are passionate about reducing the occurrence of fraud in the our dear country. In our home town, Enugu, we have heard of countless stories how old women are robbed of their life savings by belligerent individuals.

Our solution, leverages on Artificial Intelligence to create a safe environment for financial transactions. We used Knowledge Graphs to make decisions. The information fed to the Knowledge Graphs were sourced from the sandbox and a Natural Language Processing experiment (using LDA) to analyse geographical data. We created a metric , the sIndicator to measure the likelihood of a transaction been fraudulent.

Using AI (unsupervised learning for identifying clusters , Knowledge Graphs for structured storage and retrieval of information , argumentation for decision making )

Inability to use the sandbox seamlessly, Time factor,

We were able to to successfully implement the application

We learned using NLP to analyse geographical data from Twitter, we also learned how to use Knowledge graphs to analyse.

We hope to Incorporate voice analyses as a means of authentication to verify a transaction, and use Face recognition/object character recognition for transactions.

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