AI credit card advisor

Services:
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Client
Credit card consumer
Technology
GPT3.5 Turbo; AWS S3; RDS MySQL
Location
Release Date
Project Overview

The credit card industry remains one of the most opaque financial sectors. Most individuals lack a clear understanding of what they are signing up for, as the terms, benefits, and risks associated with credit cards are often complex and difficult to navigate. The platform is designed to empower individuals with comprehensive knowledge of credit cards—demystifying the fine print, clarifying features, and helping users make informed financial decisions.

Problem Statement

Even the most knowledgeable human card advisor has limited capacity to stay fully informed on the intricate details of every credit card available in the market. To bridge this gap at scale, the platform replaces the requirement to get an entire team dedicated to understanding and explaining the nuances of each card offered.

Solutions & Implementations

•Leverage scrapping technology to extract credit card data from various places across the internet.

•Segregate extracted data into two segment – Structured & Unstructured.

•Leverage LLM Model to convert user query into SQL syntaxes to run on relational DB to answer user queries.

•Leverage LLM Model to summarize unstructured data.

•Chatbot tohandle user queries, Bot smart enough to decipher the question type and invoke right LLM Model.

Conclusion

The platform operates as an AI advisor for studying and understanding large scale credit card data and bring transparency and usability to users.