Abstract:

In an era where efficiency and accuracy are paramount in financial transactions, the development of an Optical Character Recognition (OCR) system tailored for a startup processing loan applications represents a pivotal innovation. This system is designed to automate the extraction of critical information from personal and business tax records over the last three years, significantly reducing the manual labor involved in entering data into loan processing software. By targeting personal and business names, legal classifications, financial metrics, and other essential details, the OCR technology aims to minimize human error and streamline the loan application process. The objectives of this project include enhancing the speed of loan application processing by 5%, creating a high-accuracy OCR system for extracting tax record information, and seamlessly integrating this system with the existing Parlay software. Key constraints such as compliance with data privacy regulations (e.g., GDPR), compatibility with current infrastructure, and performance on borrower's laptops guide the system's development. 

The solution is intended for two main personas: loan officers and borrowers, particularly small business owners seeking SBA 7a loans. By simplifying document handling, the OCR system addresses common frustrations such as the time-consuming nature of manual data entry and the complexity of the loan application process. The planned features include OCR for tax document information extraction and integration with Parlay software, deliberately excluding fraud detection, financial analysis, and non-tax document recognition in its initial version. Success will be measured by improved processing time, accuracy in data extraction, and user satisfaction, aiming to enhance the overall efficiency and reliability of loan application processing. This project encapsulates a strategic approach to leveraging technology for financial services, promising a significant impact on the startup's operational efficiency and customer satisfaction.

Furthermore, obtaining a business loan often requires complex financial projections that can be overwhelming for the average borrower. This project aims to simplify the process by providing clear explanations of each financial term and offering guidance on how to input accurate, realistic values. It will include a user-friendly interface to assist borrowers in navigating the document. Additionally, the project will offer tools to help borrowers estimate key metrics and generate forecasts based on industry data. The goal is to empower borrowers to create strong financial projections that increase their chances of loan approval, ultimately supporting their entrepreneurial goals.

Table of Contents:

1. Introduction

2. Analysis

• OCR

• ChatBot

• Dashboard

3. Results

4. Conclusion

Team: