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Financial Receipt Capture and Analysis System

Capital One

Project Description

Financial Receipt Capture and Analysis System streamlines the process of capturing and managing hard copy credit card transaction receipts. This innovative tool allows users to: Digitally Store Receipts: Easily capture and store physical receipts for future reference. Search and Retrieve: Quickly find specific receipts with powerful search functionality. Cost Comparison: Analyze spending across different periods and categories to identify cost-saving opportunities. Trend Analysis: Understand spending trends to make informed financial decisions. Spending Analysis and Categorization: Gain insights into your spending habits with detailed categorization and analysis, helping you manage your finances better..

Folder Description
Documentation all documentation the project team has created to describe the architecture, design, installation, and configuration of the project
Notes and Research Relevant helpful information to understand the tools and techniques used in the project
Project Deliverables Folder that contains final pdf versions of all Fall and Spring Major Deliverables
Status Reports Project management documentation - weekly reports, milestones, etc.
scr Source code - create as many subdirectories as needed

Note: Commits behind this fork could be automatically synced, meaning that changes made in the template are pushed into your repo. Please do not discard commits ahead (these are the updates you make to this repository).

Project Team

  • Mehul Garnara - Capital One - Mentor
  • Thang Dinh - Computer Science - Faculty Advisor
  • Will Southerland - Computer Science - Student Team Member
  • Josh Tarongoy - Computer Science - Student Team Member
  • Joshua Whitchurch - Computer Science - Student Team Member
  • Lindsey Marandina - Computer Science - Student Team Member

About

Senior Capstone project at VCU working with Capital One to create a Financial Analysis System

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  • Python 37.6%
  • HTML 32.6%
  • JavaScript 24.0%
  • CSS 5.8%