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@article{192749,
        author = {VAISHIGA R and DR. MARY LOUIS},
        title = {Feedback Analyzer 2.0: AI-Powered Interactive Feedback Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3222-3229},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192749},
        abstract = {The AI-Powered Feedback Analysis System is specifically developed to make the process of collecting, analysing, and interpreting feedback information from different file formats such as CSV, Excel, Word, PDF, Text, etc., more efficient. Within various organizations and learning centres, feedback is often evaluated manually, which is both time-consuming and may provide subjective analysis. This initiative overcomes this process by utilizing advanced text analysis and sentiment detection within a dynamic and interactive web-based interface developed via React and Vite with modern visualization libraries. This system can retrieve both structured and unstructured data, analyse ratings and comments, determine trends, and provide valuable insights to decision-makers. Furthermore, it recognizes positive, neutral, and negative sentiment trends and provides authenticity indicators to make it more reliable. The interface is built with a user-friendly file upload feature and also allows for the visualization of insights in the form of interactive charts and summaries. The combination of natural language processing and interactive data visualization creates a powerful tool for converting feedback into intelligence. The e-learning project represents the potential of AI-driven analytics solutions in supporting the evaluation process, increasing transparency, and leading to improvements in services, training programs, and overall business efficiency.},
        keywords = {Feedback Analysis, Sentiment Detection, Data Visualization, AI Analytics, Natural Language Processing, React Dashboard, File Processing, Trend Analysis, Survey Analytics, Decision Support},
        month = {February},
        }