Skip to content

neeramrutia/summarizer

Repository files navigation

Team: 405 Found

Project: Product Review Summarizer

Overview

The Product Review Summarizer project aims to simplify the process of understanding and analyzing product reviews on Amazon. Leveraging advanced natural language processing techniques, our system automatically summarizes lengthy product reviews, providing users with concise and informative insights.

Features

  • Review Summarization: The system utilizes advanced NLP models to summarize lengthy product reviews into key points, saving users time and effort.
  • Prototype Version: We have developed a prototype capable of summarizing reviews of various products, providing a glimpse of its potential scalability.
  • Web Interface: Users can access the summarization tool through a user-friendly web interface, making it accessible across devices.
  • Integration with Amazon API: The system integrates with the Amazon API to fetch real-time product reviews, ensuring the summarization is based on the latest data.
  • Personalized Summaries: Users have the option to customize summarization preferences, allowing them to focus on specific aspects or sentiments of the reviews.

Technologies Used

  • NextJs: Frontend as well as Backend.
  • AWS lambda: to deploy serverless function.
  • Mantine UI provider

Demo

Contributors

    • Neel Vaghasiya : Integrated serverless service(lambda function on aws)