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Assessing Business Loan Risks with MongoDB Multimodal Capabilities and GenAI

Business loans are a cornerstone of banking operations, providing significant benefits to both financial institutions and the broader economy. In 2023, the value of commercial and industrial loans at commercial banks in the United States alone reached nearly 2.8 trillion U.S. dollars. However, these loans also present unique challenges and risks that banks must navigate. Besides credit risk, where the borrower may default on the loan leading to financial losses, banks also face business risk, where economic downturns or sector-specific declines can impact borrowers' business and in turn their ability to repay.

Requirements

The tech stack is :Geospatial

Warning

This demo uses several paying services which are not included in the demo such as : Google's Reverse geocoding APIs. Also this demo uses Fireworks.AI's LLMs, and therefore will need an API key, which you can get by signing up for free with your Google account here.

Note

We have another version of this same demo that have an avatar to make it more interesting. Please go to our other Github branch which includes the avatar logic.

Installation of the Demo

To install the demo please follow these steps:

To build the Docker images and start the services, run the following command:

make build

To remove all images and containers associated with the application, execute:

make clean

Summary

This demo showcases how to assess business loan risks using MongoDB's multimodal capabilities and GenAI, leveraging a tech stack that includes Node.js, Python, MongoDB Atlas, Docker, Google Maps API, and Fireworks.AI.

In the previous sections, we explored how to:

  • How to use Geospatial data in MongoDB

Are you prepared to harness these capabilities for your projects? Should you encounter any roadblocks or have questions, our vibrant developer forums are here to support you every step of the way. Or if you prefer to contact us directly at industry.solutions@mongodb.com.

You can also dive into the following resources:

Disclaimer

This product is not a MongoDB official product. Use at your own risk!

Authors

  • Wei You Pan, Global Director, Financial Industry Solutions, MongoDB
  • Paul Claret, Senior Specialist for Financial Services, Industry Solutions, MongoDB

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