AuditBot

AuditBot home screen — upload your expense CSV file and start AI-powered analysis instantly.
Real-time AI anomaly detection scanning transactions for duplicates, errors, and unusual expenses.
About auditbot
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Inspiration

As a commerce graduate, I’ve seen how small businesses and nonprofits struggle with managing expenses and preparing for audits. Manual checking is time-consuming and prone to human error. I wanted to create an AI-powered tool that could bring financial transparency and automation to everyone — even those without a dedicated accountant. That’s how AuditBot was born.

What it does?

AuditBot automatically scans financial data, detects anomalies, and produces clear, audit-ready reports. Users simply upload a CSV file of their expenses, and the AI engine instantly:

Flags duplicate or suspicious transactions

Identifies missing or unusually high expenses

Visualizes spending through charts and summaries

Generates downloadable, audit-friendly reports

In short, it lets AI audit your books before the auditor does.

How we built it?

The project was developed using HTML, CSS, JavaScript, and jQuery for the front-end interface. AI logic for anomaly detection and pattern recognition was implemented using TensorFlow.js and OpenAI API. Data visualization was powered by Chart.js, enabling users to interact with dynamic graphs. All processing occurs locally to ensure data privacy and security — no information is uploaded to external servers.

Challenges we ran into:

Designing accurate AI detection without over-flagging normal transactions.

Ensuring fast performance when analyzing large CSV files in the browser.

Keeping the interface intuitive for users without technical knowledge.

Maintaining local data privacy while implementing smart AI features.

Accomplishments that we're proud of:

Successfully built a working AI expense auditor prototype that detects anomalies in real time.

Designed a simple, accessible dashboard that visualizes spending clearly.

Ensured user data stays private and secure — no cloud storage or third-party access.

Bridged commerce knowledge with AI technology to create a practical, real-world solution.

What we learned

This project deepened my understanding of AI-driven anomaly detection, web development, and financial data handling. I also learned how to optimize data visualization for user clarity and how small details — like readable colors and concise summaries — can improve usability.

What's next for AuditBot?

Future updates will include:

Integration with Google Sheets and accounting software like QuickBooks.

AI-powered insights that suggest cost-saving opportunities.

Multi-user access for teams and accountants.

Cloud synchronization with encrypted storage for larger organizations.

AuditBot aims to evolve into a complete financial transparency platform for small businesses worldwide.