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ReconcileX – Smart Bank Reconciliation System

Project Overview
  • Project Title: ReconcileX – Smart Bank Reconciliation System
  • Domain: Banking
  • Technology Stack: Java 17, Spring Data JPA, MySQL, HTML, CSS, React
  • Duration: 3 Weeks
Project Description

ReconcileX is a financial reconciliation platform that automates the matching of a company’s internal accounting records with bank statements. It detects mismatches, duplicates, and missing entries, helping finance teams reduce manual effort, errors, and financial discrepancies. With smart rule-based matching, analytics, and secure transaction processing, ReconcileX ensures accurate and efficient financial audits.

Key Objective
  • Automate the Bank Reconciliation Process (Replace manual matching of records with intelligent, automated workflows.)
  • Detect Discrepancies and Fraud Early (Highlight unmatched entries, duplicates, and unauthorized transactions).
  • Improve Financial Reporting Accuracy (Ensure books reflect actual bank activity for clear and trustworthy reports).
  • Reduce Time and Operational Costs (Speed up month-end and year-end closing processes).
  • Support Multiple File Formats (Parse and process bank statements in CSV, XLSX, PDF formats).
  • Provide Clear Audit Trails (Maintain detailed logs and history of reconciliation activities for compliance).
  • Enable Rule-Based Matching and AI Assistance (Use configurable rules or ML models to match non-obvious entries (optional).)
Core Feature
  • Transaction Upload & Import (Import bank statements and accounting records from ERP or files).
  • Automated Matching Engine (Match records based on amount, date, reference ID, or custom rules.)
  • Exception Handling Dashboard (Highlight mismatches, partial match, and allow manual override or tagging).
  • Duplicate Detection (Detect repeated entries in internal or bank records).
  • Reconciliation Reports (Generate daily/monthly reconciliation summaries and export to PDF/Excel).
  • Role-Based Access Control (Assign permissions to auditors, accountants, and managers).
  • Audit Logging & Comments (Keep track of all actions, notes, and resolution history for compliance).
  • Integration Ready (Connect to accounting systems like QuickBooks, Tally, or SAP via APIs.)

Tools & Technologies Used

Category Tools / Technologies
Language Java 17
Framework SpringBoot
ORM Spring Data JPA
File & Record System AWS S3 / Local FS (for prescriptions, reports).
Database MySQL (main database)
Authentication & Security Spring Security + JWT
API Documentation Swagger / SpringDoc OpenAPI
Logging Log4j
FrontEnd React.js
Visualization & Reporting Apache POI (XLSX), PDFBox/iText (PDF), OpenCSV
Building Tools & Dependencies Maven, Git, Jenkins
Testing Mockito, Postman (API Test)
Cloud and Deployment AWS EC2, Docker, RDS (MySQL)

Prerequisites

💻 System Requirements
  • Operating System: Windows / macOS / Linux
  • RAM: Minimum 8 GB (12–16 GB recommended for running backend, frontend, and Docker containers)
  • Java JDK 17 installed and configured
  • Node.js and npm/yarn installed for React frontend
  • Docker Desktop installed for containerization
  • MySQL and Redis installed locally or accessible via AWS RDS/ElastiCache
📦 Software Dependencies
  • Java 17 + Spring Boot (for backend)
  • Spring Security + JWT (authentication and role-based access)
  • Spring Data JPA (for MySQL ORM)
  • Apache POI (for Excel report generation)
  • PDFBox or iText (for generating PDF summaries)
  • OpenCSV (for parsing and importing CSV bank statements)
  • Log4j (logging and audit trails)
  • Swagger / SpringDoc OpenAPI (for API documentation)
  • React.js + DataGrid + Recharts (for front-end visualization)
🧰 Tools & Services
  • IDE: IntelliJ IDEA / Eclipse (backend), VS Code (frontend)
  • Postman (for API testing), Mockito & JUnit (unit testing)
  • Git & GitHub (version control)
  • Jenkins (for CI/CD)
  • AWS EC2 (backend hosting), AWS S3 (for statement storage), AWS RDS (MySQL)
🌐 Technical Knowledge
  • Basics of financial reconciliation and accounting workflows
  • REST APIs, Spring Boot Microservice structure
  • Understanding of CSV, XLSX, and PDF file handling using Java libraries
  • React DataGrid and charting with Recharts
  • Role-based authentication and secure API design
  • Docker and AWS deployment fundamentals
  • TechnologyJava
  • TypeWeb Application
  • Duration3 weeks
  • ModeOnline/Offline
  • CertificateYes
  • Project ReviewIncluded
  • Doubt SupportLive & Chat Support
  • Career SupportResume & Interview Tips
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