GPAY Transaction Analysis with LLMs

• Tech Stack: Python, LangChain, LLMs, OpenAI
• Github URL: Project Link

This project involves the use of Large Language Models (LLMs) to analyze transaction data from Google Pay (GPAY). The aim is to extract meaningful insights, predict trends, and provide recommendations for both users and businesses.

Objectives

Analysis: Utilize LLMs to interpret GPAY transaction data.

Trend Identification: Discover spending and usage trends among users.

Predictive Analytics: Implement models to forecast future transaction patterns.

Personalized Insights: Offer personalized spending insights and advice to users.

Business Intelligence: Provide businesses with data-driven strategies for customer engagement.