JEWELRAMIREZ
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02 / CASE STUDY

NL2SQLViz

Agentic Natural Language-to-Visualization System

Overview

Agentic Natural Language-to-Visualization System for Enterprise Analytics. Simplifies query construction and charts creation.

Problem

Enterprise analysts needed an intuitive way to query databases using natural language and generate visual chart representations automatically.

Solution

Engineered an agentic AI-driven pipeline that converts natural language prompts into SQL queries and dynamic Chart.js visualizations.

Role

Full-Stack Developer & AI Systems Engineer

Features

  • ✓Natural language query input interface
  • ✓Automated SQL construction engine
  • ✓Dynamic Chart.js visualization rendering
  • ✓Enterprise database integration

Technology

VueQuasarChart.jsPostgreSQLPython

Architecture

  • •Vue.js & Quasar framework for responsive analytics UI
  • •Chart.js for interactive charting and visual representations
  • •PostgreSQL relational database for enterprise query processing
  • •Python backend AI agent service for NL-to-SQL translation

Outcome

Accelerated database querying and chart generation for non-technical users and analytics teams.

Project Details

TYPE
Web Application
TIMELINE
2026
STATUS
COMPLETED