Recipe Book – Web-Based Recipe Recommendation System using Python , Flask and SQLite

Cooking is a daily necessity, yet users frequently struggle to decide what to prepare with the ingredients they have. Traditional recipe sources—such as notebooks and printed books—are difficult to organize and cannot support fast keyword-based search. Online recipe platforms provide thousands of dishes but are often cluttered with ads and lack personalization. The proposed system addresses these inefficiencies through a web-based platform that allows users to browse recipes, search using ingredients, add new dishes to a structured database, and submit feedback. The system is intentionally kept simple, modular, and lightweight, making it ideal for academic use and small-scale deployments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-07
DOI
https://doi.org/10.5281/zenodo.17848432
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Recipe Book – Web-Based Recipe Recommendation System using Python , Flask and SQLite

Zenodo (CERN European Organization for Nuclear Research)
Recommender Systems and Techniques
article

Recipe Book – Web-Based Recipe Recommendation System using Python , Flask and SQLite

article en

Abstract

Cooking is a daily necessity, yet users frequently struggle to decide what to prepare with the ingredients they have. Traditional recipe sources—such as notebooks and printed books—are difficult to organize and cannot support fast keyword-based search. Online recipe platforms provide thousands of dishes but are often cluttered with ads and lack personalization. The proposed system addresses these inefficiencies through a web-based platform that allows users to browse recipes, search using ingredients, add new dishes to a structured database, and submit feedback. The system is intentionally kept simple, modular, and lightweight, making it ideal for academic use and small-scale deployments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 29%
Recommender Systems and Techniques
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Recipe Book – Web-Based Recipe Recommendation System using Python , Flask and SQLite · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS