Berkay Ozturk

Software Engineer

Pave

Roadblock Title:

How to extract financial insights from cash flow data with AI

Time:

Tuesday - 3:00 PM (Tower C)

Abstract:

In this session, I’ll walk you through the development of an AI-powered personal finance management chatbot that transforms raw cash flow data into actionable, conversational insights. This AI chatbot allows users to engage with their transaction data, simply by asking questions. They can use the AI to reduce their spending, improve their budgeting, and take control of their financial health.

We will dive into how to build such a PFM chatbot in which the end user can ask questions like:

How can I save more money?
When is my next electricity bill due?
Can you find cheaper alternatives for my frequent purchases?

And receive personalized recommendations based on their spending patterns.

Bio:

Berkay began his AI and fintech journey at the Credit Bureau of Turkey, leading the implementation of a government-funded R&D project on anomaly detection. Today, he continues this journey in California as an early engineer at Pave, leveraging AI-powered cashflow analytics to build a more equitable financial future for all Americans.