Development of an Investment Proposal Processing  System in Banks using LLM

Nehan, Md. Nazmus Sadat

dc.contributor.author	Nehan, Md. Nazmus Sadat
dc.date.accessioned	2025-03-13T08:31:26Z
dc.date.available	2025-03-13T08:31:26Z
dc.date.issued	2024-06-13
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dc.identifier.uri	http://hdl.handle.net/123456789/2399
dc.description	Supervised by Prof. Dr. Md. Kamrul Hasan, Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh This thesis is submitted in partial fulfillment of the requirement for the degree of Master of Science in Computer Science and Engineering, 2024	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	Large Language Model; Machine Learning; LangChain; RAG; FLAN-T5	en_US
dc.title	Development of an Investment Proposal Processing System in Banks using LLM	en_US
dc.type	Thesis	en_US