Implemented ProjectData Analytics and AI

Internal Smart Assistant

An internal AI assistant that analyzes data and answers users' questions in natural language, transforms questions into safe SQL queries, and presents results as metrics, tables, and charts.

01

Turning questions into usable insights

The assistant lets users explore data and ask questions naturally, then converts them into safe queries and presents clear answers that support analysis and decision-making.

02

Assistant capabilities

Implemented Project

Natural-language Questions

Ask direct questions about data without writing database queries.

Implemented Project

Natural Language to SQL

Translate questions into SQL queries suited to the available data structure.

Implemented Project

Safe Queries

Apply controls that protect data and restrict execution to allowed queries.

Implemented Project

Intelligent Answers

Generate clear responses grounded in the returned data.

Implemented Project

Metrics and Figures

Surface key values and indicators in a quick, direct format.

Implemented Project

Analytical Tables

Organize detailed results in readable tables.

Implemented Project

Charts and Reports

Present results through charts and reports that clarify trends.

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Local Models

Run a local language model through Ollama for privacy and control.

03

Project technologies

Artificial Intelligence

Ollama / Local LLM

Natural Language to SQL (NL2SQL)

FastAPI

React + TypeScript

SQL Server

Data Analytics

Charts & Reports

04

Local AI connected to enterprise data

The solution combines Ollama and a local language model with FastAPI and SQL Server to turn user questions into safe queries, then presents the results through a React and TypeScript interface with clear visual analytics.

Open Internal Smart Assistant

Launch the assistant and start querying data in natural language.

Open the System