SQL etl pipeline hooked to aiven postgreSQL , ORM transforms and creates tables based on user csv ,passes table schemas ,with natural language parameters to gemini_pro 1 model. \ ORM to execute gen ai queries and fetch table rows from postgre, dsiplay output of fetched rows on react, node.js /express for auth routes

configured to aiven cloud postgreDB to store user profile ,redis.io for message broker

Available Scripts

In the project directory, you can run:

npm run start

Runs the app in the development mode .
[http://localhost:3000]

Runs the server in the development mode.
[http://localhost:5000]

\Gemini python app.py

Runs the server in the development mode.
in [http://localhost:5001] generates table schemas/handles etl /executes generated queries in db,fetches tables

build and runs the container

docker-compose up --build