Algorithmic Optimization of Coupon Pooling Application: A Machine Learning Perspective

The accumulation of unused coupons poses a significant challenge in the modern era, driven by technological advancements and growing environmental consciousness. This paper presents the Coupon Pooling App, a platform enabling users to buy and sell coupons. The app leverages Optical Character Recognition (OCR) technology to extract essential details such as coupon codes, expiry dates, and categories, and employs machine learning algorithms to power its recommendation system—a central focus of this study. By utilizing OCR-extracted data, the app generates personalized coupon suggestions, addressing the issue of wasted coupons while unlocking their latent value. This innovation promotes resource efficiency, supports sustainability, and enhances practical savings.

Authors

Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1109/esci63694.2025.10988037
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithmic Optimization of Coupon Pooling Application: A Machine Learning Perspective

Pratham Sharma, Sheela Chinchmalatpure, Arjun Sikchi, Divyanshi Singh et al.
Power Line Communications and Noise
article

Algorithmic Optimization of Coupon Pooling Application: A Machine Learning Perspective

Pratham Sharma, Sheela Chinchmalatpure, Arjun Sikchi, Divyanshi Singh, Shreya Basarikatti, Archit Samnerkar
article en

Abstract

The accumulation of unused coupons poses a significant challenge in the modern era, driven by technological advancements and growing environmental consciousness. This paper presents the Coupon Pooling App, a platform enabling users to buy and sell coupons. The app leverages Optical Character Recognition (OCR) technology to extract essential details such as coupon codes, expiry dates, and categories, and employs machine learning algorithms to power its recommendation system—a central focus of this study. By utilizing OCR-extracted data, the app generates personalized coupon suggestions, addressing the issue of wasted coupons while unlocking their latent value. This innovation promotes resource efficiency, supports sustainability, and enhances practical savings.

Openalex Percentile: Top 92%
Power Line Communications and Noise
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.