FinanceAI

This project is designed for enterprise-grade financial intelligence and analytics. The platform uses multiple AI agents to: Analyze financial datasets Detect suspicious anomalies Forecast financial trends Generate executive insights Provide AI-powered decision support Multi-Agent Architecture The system contains specialized AI agents: 1. Extraction Agent Processes CSV, Excel, and PDF financial documents Cleans and structures financial data 2. Financial Analysis Agent Calculates KPIs Generates financial insights Evaluates business health 3. Anomaly Detection Agent Detects suspicious financial activity Identifies abnormal transactions Performs risk classification 4. Forecasting Agent Predicts future financial trends Generates forecasting intelligence Estimates business risks 5. Executive Intelligence Agent Produces executive summaries Generates strategic recommendations Answers financial questions System Architecture: User Uploads Financial Data ↓ Document Extraction Agent ↓ Semantic Financial Classifier ↓ Financial Analysis Agent ↓ Anomaly Detection Agent ↓ Forecasting Agent ↓ Executive Intelligence Agent ↓ Dashboard + Reports + AI Chat Intelligent Features Semantic Financial Understanding The system intelligently distinguishes between: Financial Columns revenue expenses payments invoices Non-Financial Columns transaction_id age quantity zip_code This prevents invalid analysis and improves enterprise accuracy. Anomaly Detection The platform detects: Fraud indicators Suspicious transactions Expense spikes Abnormal vendor payments Revenue inconsistencies Forecast Intelligence The forecasting system provides: Revenue predictions Cashflow forecasting Financial trend analysis Risk forecasting Executive AI Chat Users can ask: Why did revenue decrease? What is the biggest financial risk? Predict next quarter performance Identify suspicious activities Dataset Intelligence