Created in colaboration with Guy Mead https://x.com/helping_hound

Gemini Wide Context Kaggle Contest entry - Fraud Analysis Tool (December 1, 2024)

AI-Powered Fraud Detection Platform

Leveraging Gemini 1.5's 2 Million Token Context Window for Comprehensive Fraud Analysis

🌟 Overview An innovative fraud detection system that harnesses Google's Gemini 1.5 AI model's groundbreaking 2 million token context window to analyze massive corporate email datasets for fraudulent activities. Built for the Kaggle Gemini Long Context Window competition, it demonstrates how extended AI memory enables comprehensive document analysis without traditional limitations.

🚀 Key Features

Core Capabilities

Long-Context Analysis: Process entire email archives (up to 2 million tokens) in single API calls

Interactive Fraud Detection: Real-time analysis of financial communications for red flags

Smart Annotation System: User feedback improves detection accuracy over time

Multi-Modal Interface: Chatbot input, file uploads, and manual review capabilities Technical Innovation

Context Caching: Efficient processing of large datasets using Gemini's caching features Dynamic Visualization: Pie charts and timelines showing evidence distribution Keyword Highlighting: Interactive text analysis with customizable highlighting CSV Integration: Import/export capabilities for seamless data workflow

Analysis Focus Areas

Off-book accounting practices

Special purpose entity manipulation

Revenue recognition irregularities

Insider trading patterns

Document destruction evidence

Auditor relationship concerns

🛠️ Technology Stack

Backend

Python 3.8+ with Jupyter notebooks

Google Gemini 1.5 API (Pro/Flash models)

NLTK for natural language processing

Pandas for data manipulation

Gradio for interactive interfaces Frontend React 18 with TypeScript Material-UI components Recharts for data visualization Tailwind CSS for styling