# Adenstien

Canonical URL: http://localhost:3000/building/adenstien
Published: 2026-09-22
Updated: 2026-09-22
Language: en

A generative advertisement system.


## From product information to media

The [Adeinstien repository](https://github.com/Krishnan9074/Adeinstien) documents a Walmart Sparkathon shopping and advertising prototype. It describes monitoring interactions in a simulated store, recommending products, then creating personalized video ads from product information. The recommendation design names conservative Q-learning, Jaccard similarity, and cosine similarity.

## The pipeline

The documented ad pipeline generates scripts, turns them into speech with text-to-speech, and assembles images into video. The repository lists React for the frontend and Flask with Python for backend and AI work. Its README links a [project demo video](https://youtu.be/x-7E68XbRXg).

## Research connection

The supplied research record connects advertisement generation to Kolmogorov-Arnold Networks. The public project README does not establish how that work fits into this implementation, so the site does not infer a specific architecture or result.

## What remains to document

The repository includes source and screenshots. The README describes possible distribution through YouTube, short-form video, and in-store screens; independently verified production deployment and measured outcomes are still unavailable.