Feedlytics: A Feedback-Driven Insight System

Abstract

In today's competitive and innovation-driven environment, user feedback is a cornerstone for improving products and services. Feedlytics is a web application designed to revolutionize feedback analysis by providing businesses with the tools to understand user sentiments, identify trends, and make data-driven decisions.

Feedlytics bridges the gap between feedback collection and actionable insights by combining an intuitive React-based frontend with a Python-powered backend. The platform incorporates advanced techniques such as natural language processing (NLP) using a Large Language Model (LLM) to categorize sentiments and detect trends in real-time. Its robust architecture ensures scalability and performance, making it suitable for businesses of all sizes.

Through a streamlined feedback submission process and visually engaging dashboards, Feedlytics enhances user engagement and enables organizations to respond promptly to customer needs. This project report discusses the design, development, and evaluation of Feedlytics, illustrating its potential to transform feedback into a powerful decision-making tool.