In today’s digital landscape, user-generated content plays a crucial role in shaping online opinions, particularly on platforms like YouTube and Amazon. With millions of users sharing feedback, reviews, and comments, understanding and categorizing these responses is essential for content creators, marketers, and businesses to make informed decisions.

This project, "Comments and Reviews Analyzer", aims to provide an automated system that analyzes user-generated content from YouTube and Amazon. The system is designed to provide valuable insights into the sentiments of comments on YouTube videos and reviews of products on Amazon. It incorporates advanced machine learning and natural language processing techniques to perform sentiment analysis, topic extraction, text summarization, and tag generation, making it a comprehensive tool for opinion mining.

1.Home Page: 2.About us:

3. contact us:

4. Dashboard

Frontend: HTML, CSS, React.Js, Tailwind

Backend: Python , Flask ,CSV, Mongodb

API: Gemini API

• Prajwal
• Atinder Kumar
• Shivam

Clone the project

  git clone https://github.com/atinder11/major.git

Install dependencies in the respective directories

  npm install

  yarn

Run the application in on your localhost

  yarn run dev