aws-comprehend

Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.

Speech Sentiment Analyser is a ML & AI based tool to help analyse the user sentiment in an audio file

Team - Brogrammers. AIRA - Software Solution for Next Generation E-commerce.

This is a project to classify customer requests based on the customer request text using AI - NLP. I have used AWS Comprehend, AWS Step Functions and Lambda Functions. In addition to these components, Zendesk supports natively connection to the AWS Event Bridge, this means that all ticket events in Zendesk are sent to AWS to process and update t…

A Discord bot that replies a GIF of Pepa Madrigal from Encanto whenever it detects a negative message

🗣 An Alexa skill that uses Natural Language Processing (NLP) to analyze and keep track of the sentiment value of your speech entry

AI-powered resume optimizer using Generative AI, LLMs, and NLP, built with React (JS) for the frontend, Flask (Python) for the backend, and leveraging AWS services like S3, Beanstalk, and Bedrock.

A modern, cloud-native bike sharing solution built with React & AWS serverless architecture. Features intelligent booking system, real-time availability tracking, multi-factor authentication, AI-powered chatbot, and comprehensive admin analytics dashboard.

Project that allows students to review CPSC courses at UBC and view comprehensive summary results and visualizations

AI-powered image cataloging and retrieval platform for advertising research. Developed using React, AWS (Rekognition), and Firebase as a Final Degree Project

블로그 광고 판별 서비스 "네돈네산" 개발을 위한 레포입니다.

The system is implemented with various Amazon Web Service, supports recommendation, ordering and intelligent review

Let's analyze twitter sentiments.This project uses Twitter API and AWS kinesis,AWS kinesis Firehose,Comprehend,Lambda,S3 and DynamoDB