Smart View – An AI -Powered Visualization, Reviewing & Recommendation App

In the dynamic mobile application ecosystem, user reviews will significantly influence app quality, user retention, and market success across platform such as Google Play Store. smartview will be an AI-powered sentiment analysis and visualization system that will transform unstructured user feedback into actionable insights for developers. The system will incorporate a custom multiplatform web scraper to collect reviews, ensuring a rich and updated dataset. Using Natural Language Processing (NLP) preprocessing, irrelevant elements such as emojis, stop words, and noise will be filtered out to retain meaningful textual data for analysis. At its core, smartview will integrate advanced sentiment classification techniques. Traditional supervised learning models such as Logistic Regression, Naïve Bayes, and Support Vector Machines (SVM) will be combined with deep learning approaches like Long ShortTerm Memory (LSTM) networks to enhance contextual understanding and will achieve high classification accuracy. This will enable the system to categorize reviews into Positive, Negative, or Neutral sentiments while adapting to evolving linguistic trends in user opinions. Furthermore, Smartview will incorporate an intelligent recommendation engine. By analyzing aggregated feedback, the system will automatically generate suggestions for improvement. For instance, if a significant portion of users will highlight dissatisfaction with graphics, the system will recommend targeted enhancements to address this concern. By unifying review collection, AI-driven sentiment analysis, visualization, and recommendation, smartview will empower developers with data-driven decision-making capabilities. This will lead to improved app performance, higher user satisfaction, and a competitive edge in the rapidly evolving mobile app marketplace.