AI-Powered Product Review Analytics and Ranking Dashboard System

AI-Powered Product Review Analytics and Ranking Dashboard System integrates Natural Language Processing (NLP), Machine Learning (ML), Java, and SQL database ranking mechanisms to automate customer feedback analysis and improve product evaluation. The framework is designed to overcome the limitations of manual review analysis and traditional rating-based systems in modern e-commerce environments. When customers submit reviews, the system analyzes the textual content using NLP techniques such as preprocessing, tokenization, stop-word removal, normalization, and vectorization to classify feedback into Positive, Negative, or Neutral sentiment categories. Based on the predicted sentiment, a weighted scoring algorithm dynamically updates product rankings in an SQL database. The system provides an intelligent, scalable, and real-time solution that enhances user experience and supports business decision-making by promoting highly rated products, reducing the visibility of poorly reviewed products, and identifying re currying issues through sentiment insights. This approach improves transparency, ranking accuracy, and overall product quality management in both online and offline retail environments.