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