Screenshots of the finished app will be added here before it goes on sale.

Coming soonIntermediate

AI SQL Analyst

Turn natural-language questions into SQL for your own database. The app explains each query in plain English, checks that it only reads data, runs it, and shows the results as a table and a chart that you can export to CSV.

from ₹499 at launch

One-time payment · 3 editions · licence · not on sale yet

Choose your edition Free Text-to-SQL guide

For: Data analysts and Python developers

Overview¶

The problem it solves

Answering a business question usually means waiting for someone who knows SQL and the database. This app lets anyone ask in plain English, while showing the generated SQL and refusing anything that would change data.

Who it's for

Data analysts and Python developers · Intermediate level

Main benefits

Answers from your own database in seconds, without writing SQL
Every query shown and explained, so results can be trusted and learned from
Read-only safety checks before anything runs
A strong data-plus-GenAI portfolio project

Features¶

This app is in development. These are the features of the finished app; screenshots and the exact file list will be added before it goes on sale.

What it does

Ask questions in plain English
See the generated SQL and a plain-English explanation
Run the query and view the results as a table
Automatic charts for the results
Export results to CSV

Technical capabilities

Schema-aware prompt built from your database's tables and columns
SQL validation that allows SELECT queries only and adds a row limit
Works with SQLite, PostgreSQL and MySQL through SQLAlchemy
Query execution on a read-only connection
Charts with Plotly, data handling with Pandas

Architecture¶

flowchart LR
  U[User] -->|question| UI[Streamlit app]
  UI --> S[Read database schema]
  S --> G[Prompt with schema]
  G --> L[Groq LLM]
  L -->|SQL + explanation| V{Validator: SELECT only, LIMIT}
  V -->|rejected| UI
  V -->|safe| X[Run on read-only connection]
  X --> D[(Your database)]
  D --> R[Results in Pandas]
  R --> C[Table, chart, CSV]
  C --> U

Data flow

The app reads the database schema (tables, columns, types) when it connects.
The question and the schema go into a prompt that asks the LLM for SQL and an explanation.
The validator rejects anything that isn't a single SELECT and adds a row limit.
Safe SQL runs on a read-only connection; results load into a Pandas DataFrame.
The app shows the SQL, the explanation, a table and a chart, with CSV export.

Backend components

Streamlit interface
Database connector (SQLAlchemy) with a read-only user
SQL validator
Query runner and result formatter

AI components

Schema-aware prompt builder
Groq-hosted LLM for SQL generation and explanation

Technology stack¶

Technology	What it does here
Python	The language of the whole app
Streamlit	Interactive web interface
Groq	LLM for SQL generation and explanations
SQLAlchemy	Connects to SQLite, PostgreSQL or MySQL
Pandas	Result tables and CSV export
Plotly	Charts

What's included¶

Everything is delivered as a private download after payment. Nothing paid is ever public on this site.

What you get	Learner	Career	Developer
Complete source code (ZIP)The whole application: backend, frontend and configuration, organised as a real project.	✓	✓	✓
READMEWhat the app does, how the code is organised and how to run it.	✓	✓	✓
Requirements filerequirements.txt with pinned versions, so installs are repeatable.	✓	✓	✓
Environment example.env.example listing every setting and API key, with safe defaults.	✓	✓	✓
Setup tutorialStep-by-step guide from download to a running app on Windows, macOS or Linux.	✓	✓	✓
Architecture diagramThe diagram on this page as an image, plus the source to edit it.	–	✓	✓
Architecture walkthroughWhy each component exists and how a request flows through the code.	–	✓	✓
Interview Q&AQuestions interviewers ask about a project like this, with model answers.	–	✓	✓
Resume bullet pointsReady-to-adapt bullet points describing the project for your resume.	–	✓	✓
Docker configurationDockerfile and docker-compose.yml to run it in containers.	–	–	✓
Test casesAutomated tests (pytest) for the main features.	–	–	✓
Deployment guideHow to deploy it to a cloud platform, with the settings to change for production.	–	–	✓

System requirements¶

Python	Python 3.11 or newer
Memory (RAM)	2 GB
Disk space	About 500 MB for dependencies
Python packages	`streamlit` `sqlalchemy` `pandas` `plotly` `groq` `python-dotenv`
API keys and services	A Groq API key (Groq offers a free tier with rate limits) A database (a sample SQLite database is included)
Operating system	Windows, macOS or Linux

Choose your edition¶

Learner Edition

₹499 one-time · at launch

Learn how it works and run it yourself.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch

Career Edition

₹799 one-time · at launch

Everything to present it in interviews and on your resume.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial
Architecture diagram
Architecture walkthrough
Interview Q&A
Resume bullet points

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch

Developer Edition

₹1,499 one-time · at launch

Production extras and a commercial licence for client work.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial
Architecture diagram
Architecture walkthrough
Interview Q&A
Resume bullet points
Docker configuration
Test cases
Deployment guide

Licence: Commercial licence

Support: 30 days of email support for setup and code questions, plus help with file problems.

Notify me at launch

Prices are in Indian rupees, one-time, with no subscription. Not on sale yet: "Notify me" adds you to the launch list for this app.

Licence and support¶

Personal licence

Use the code to learn, run it for yourself and show it in your portfolio and interviews. You may not resell or redistribute the code, or use it in work for clients.

Comes with: Learner Edition, Career Edition

Commercial licence

Everything in the personal licence, plus use in your own commercial products and in work for clients. You may not resell or redistribute the source code itself, as-is or as a template.

Comes with: Developer Edition

Learner Edition: Help by email if a file is missing or won't open.
Career Edition: Help by email if a file is missing or won't open.
Developer Edition: 30 days of email support for setup and code questions, plus help with file problems.

Full wording: Licence information · Refund policy

FAQ¶

When can I buy it?

It's in development and not on sale yet. Leave your email below and you'll get one email when it launches.

Which edition should I choose?

Learner if you want to study the code and run it yourself. Career if you'll present it in interviews or on your resume: it adds the architecture walkthrough, interview Q&A and resume bullet points. Developer if you'll use it in client or commercial work: it adds Docker, tests, a deployment guide, a commercial licence and 30 days of email support.

How will I receive the files?

After payment you'll get a private download of the ZIP for your edition. Paid files are never public on this site.

Does it include API keys or hosting?

No. You'll use your own API keys (see System requirements) and run it on your own machine or server.

Can I use it for client work?

Only with the Developer Edition's commercial licence. See Licence information.

Can I get a refund?

See the Refund & Cancellation Policy. It will be updated with the terms for source code before any app goes on sale.

I have a question that isn't answered here.

Use the contact page or email aiwithpriyabrat@gmail.com. We reply within 2 working days.

Get AI SQL Analyst at launch

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Compare editions · Browse all AI projects

AI SQL Analyst

Overview¶

The problem it solves

Who it's for

Main benefits

Features¶

What it does

Technical capabilities

Architecture¶

Data flow

Backend components

AI components

Technology stack¶

What's included¶

System requirements¶

Choose your edition¶

Learner Edition

Career Edition

Developer Edition

Licence and support¶

Personal licence

Commercial licence

FAQ¶

Related applications¶

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Get AI SQL Analyst at launch