Chat with CSV

Project Overview

"Chat with CSV" bridges the gap between data and AI by enabling users to query structured CSV data using natural language, with a focus on cybersecurity vulnerabilities. The system integrates Python, LangChain, and SQLAlchemy to process, analyze, and provide detailed insights into security risks.

The primary features include:

• Real-time querying of CSV data through natural language.
• Integration with OpenAI GPT for intelligent and context-aware responses.
• Support for SQL databases, making the solution scalable for larger datasets.
• Automatic report generation for detailed vulnerability descriptions.

Key Features

• Natural Language Querying: Users can ask questions in plain English, and the system generates precise, data-driven responses.
• Cybersecurity Focus: Designed specifically for analyzing vulnerabilities and generating comprehensive reports.
• Report Generation: Automatically generates detailed, formatted reports in text files for easy sharing.
• Database Integration: Stores and queries CSV data using SQLite for scalability and reliability.

Gallery

Explore the application interface and key features:

Console-based interface for querying CSV data.

Detailed cybersecurity vulnerability reports.

Querying vulnerabilities stored in an SQLite database.