Original project

Auditor App

An evidence-first audit workspace that converts statements from multiple banks into one review-ready transaction model. It automates extraction, deduplication, transfer matching, and risk detection so auditors spend more time investigating exceptions and less time preparing spreadsheets.

Origin
Original project
Role
Product, design & technology
Focus
Application
Engineering Area
AI & ML
Domain
Business & operations
Status
Prototyped
01

Why this should exist

Financial review should begin with evidence, not spreadsheet cleanup

Auditors spend valuable judgment time extracting and reconciling transactions before they can investigate risk. Auditor App converts statements into a consistent transaction model and surfaces patterns that deserve human attention.

02

Problem and product

The problems

  1. 01

    Bank statements arrive in inconsistent PDF and spreadsheet formats.

  2. 02

    Transfers and duplicate records distort a customer's financial picture.

  3. 03

    Potential fraud signals hide across accounts and review periods.

What the product delivers

  • PDF Statement Parsing
  • Transaction Analysis
  • Fraud Detection
  • Multi-bank Integration
  • Financial Dashboards
  • Automated Reporting
03

Technology used

A stack chosen for the product

Python parsing and machine-learning services normalize transaction evidence. A MERN application supports review workflows, while analytical views keep every flag connected to the source transaction and reconciliation history.

AIMLPythonMERNpdf-parsingexcelDashboard
04

Architecture

How the system holds together

  1. 01

    Evidence ingestion

    Parsers extract statements from multiple banks and retain links to source documents.

  2. 02

    Transaction intelligence

    Normalization, deduplication, transfer grouping, and risk rules create a review-ready ledger.

  3. 03

    Auditor workspace

    Dashboards surface anomalies and let reviewers document decisions before generating reports.

05

Estimated goals

An explainable review layer for small audit teams

The strongest path focuses on reducing preparation time while keeping every automated decision traceable to evidence.

  1. 01

    Benchmark extraction and reconciliation accuracy across representative banks.

  2. 02

    Measure reviewer time saved without reducing audit coverage.

  3. 03

    Add fraud models only when their explanations support defensible human decisions.

Future goals are directional estimates and depend on user validation.
06

Extras

Product perspective

Primary audience
Auditors, accountants, and finance review teams
Business model
Workspace subscription based on reviewers and statement volume
Product edge
Automation prepares evidence while the auditor owns the conclusion

Execution principle

Validate the narrow customer promise first. Add scope only when evidence shows that it improves the outcome.

View source

Full project notes

Product and engineering deep dive

The project overview adds a concise presentation layer. The complete product details remain below.

From intent to implementation

A product direction shaped around a real use case.

Comprehensive financial auditing platform that transforms bank statement analysis through intelligent automation. Features include PDF parsing for transaction extraction, transaction merging with duplicate removal, multi-bank statement management, cross-bank transaction grouping, fraud detection algorithms, and interactive visualization dashboards for comprehensive financial analysis and decision-making.

01 · The product response

What people can do with it

  • PDF Statement Parsing
  • Transaction Analysis
  • Fraud Detection
  • Multi-bank Integration
  • Financial Dashboards
  • Automated Reporting

Project sponsorship

Fund this project—from prototype to production.

Help Auditor App reach its next production milestone through stronger infrastructure, testing, accessibility, and product refinement.

  • Design validation and user research
  • Production infrastructure and security
  • Testing, accessibility, and launch readiness
Choose a sponsorship amount
Your sponsorship₹1,000
₹100₹1,00,000

Secure checkout by Razorpay. Sponsorship does not provide equity, ownership, or a guaranteed delivery date.

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