Development of an Investment Proposal Processing System in Banks using LLM

Abstract

In the realm of modern banking, the efficient processing of investment proposals stands as a pivotal aspect for both financial institutions and their clientele. This project introduces a new approach leveraging Language Model (LLM) technology to streamline and enhance the investment proposal processing system within banks. This project introduces a new way of Investment Proposal Processing System for banks, empowered by Language Model (LLM) technology. Leveraging natural language processing capabilities, the system automates the evaluation of investment proposals, enhancing efficiency and decision-making accuracy. By analyzing textual data, including financial documents and market trends, the system provides comprehensive risk assessments and facilitates transparent decision outcomes. Through its implementation, banks stand to benefit from improved processing times, enhanced risk management, and greater client satisfaction, heralding a new era of data-driven investment operations.