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customer-feedback

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Developed a full-stack web application for catering services using the MERN stack (MongoDB, Express.js, React, Node.js). Features include menu management, order tracking, customer feedback, payment gateway and many more..

  • Updated Sep 28, 2024
  • JavaScript

This repository contains code and tools for sentiment analysis of Persian customer reviews and feedback. Using Natural Language Processing (NLP) techniques, this project helps you transform Persian customer reviews into interpretable data and gain valuable insights to enhance the shopping experience.

  • Updated Apr 3, 2025
  • Jupyter Notebook

The cab booking project is used to book online from where you need there are three user admin and user and cab driver, The admin can check the cab details who all booked who all login etc, I have provide user-friendly domain to customer's happy it will helpful to all users used my cab booking online..

  • Updated May 6, 2022
  • Python

This project analyzes customer feedback for skincare products by predicting sentiment using an unsupervised model. It includes a web application for real-time sentiment analysis, an ETL pipeline built with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and a Power BI dashboard for visualizing review trends.

  • Updated Oct 31, 2024
  • Jupyter Notebook

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