Muhammad Tayyab Shafique@MTayyabShafique

ReviewAI streamlines the process of making informed purchasing decisions by monitoring and checking product reputation. Users simply input a product link, after which the application automatically scrapes reviews, analyzes sentiments using advanced AI models, and delivers clear recommendation either to buy the product or not. This application not only helps consumers decide whether to purchase a product, but also empowers businesses—big or small—to monitor product perception, identify trends, and improve offerings based on the comments of the real customers. Functional Breakdown: Review Scraping: Utilizes Selenium to extract comprehensive review data—including ratings, reviewer details, and review content—from e-commerce product pages. Data Processing: Cleans and structures the extracted data using Pandas and Python utilities, ensuring high-quality input for analysis. Sentiment Analysis: Employs Mistral AI and it’s cutting-edge NLP techniques to perform nuanced sentiment analysis, to categorize positive, negative, and neutral opinions. Recommendation Engine: Aggregates sentiment scores and review credibility to generate clear recommendations. User Interface: Built with Streamlit, the intuitive web interface allows users to input product links and view detailed analysis and recommendations in real time. Applications: Smart Shopping Companion: ReviewAI acts as a smart shopping companion. by just pasting the link, the user can receive a trustworthy recommendation—saving time and enhancing the overall shopping experience. By leveraging real buyer reviews and advanced AI analysis, the application helps users make confident decisions and avoid disappointing purchases. Business Intelligence: Enables businesses to monitor product perception, discover what customers like or dislike, identify recurring defects or praised features, and track long-term trends (such as shifts in positive or negative reviews over time).

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