International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Predictive Analysis of Wine Quality Using Machine Learning |
|---|---|
| ABSTRACT | Wine quality assessment plays an important role in the food and beverage industry, where maintaining consistent quality is essential for customer satisfaction and production efficiency. Traditional quality evaluation methods rely on expert wine tasters, making the process time-consuming, expensive, and subjective. This project presents a Predictive Analysis of Wine Quality Using Machine Learning system that predicts the quality of wine based on its physicochemical properties. The proposed system employs machine learning algorithms to analyze features such as fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, and alcohol content to classify wine quality accurately. A web-based application is developed using Flask, HTML, CSS, and SQLite to provide a secure and user-friendly interface for prediction. By automating the quality assessment process, the system reduces manual effort, improves prediction accuracy, and supports efficient decision-making in wine production and quality control. |
| AUTHOR | DR. T.V.S SRIRAM, K. RAM KRISHNA, B. AKHILA Sr. Asst. Professor, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India Asst. Professor, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India Dept. of MCA, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, AP, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.14060115 |
| pdf/115_Predictive Analysis of Wine Quality Using Machine Learning.pdf | |
| KEYWORDS | |
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