Inspiration
We wanted to make data easier to understand by combining AI reasoning with visualization.
What it does
Analyzes input, explains patterns, and generates graphs to turn raw data into clear insights.
How we built it
Built with Python, OpenAI API, and matplotlib, organized into modular files for logic and utilities.
Challenges we ran into
a lot of bugs, API key becoming invalid or revoked many times.
Accomplishments that we're proud of
Handling AI responses, routing inputs correctly, and making graph generation reliable and accurate.
What we learned
Dynamic graph generation, adaptive AI responses, and clear data insights from simple inputs.
What's next for Cortex: Data Intelligence System
How to integrate AI APIs, structure scalable code, and turn raw data into meaningful visual outputs.
