Our first Challenges of building AI-Powered APP
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Updated
Oct 8, 2024 - Vue
Our first Challenges of building AI-Powered APP
Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-engine)
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
A full stack, serverless, web-based note taking app, focusing on user-friendly features like voice notes, which utilizes Speech-to-Text AI to enable more efficient and accurate note taking.
The Amazon Transcribe Streaming SDK is an async Python SDK for converting audio into text via Amazon Transcribe.
SubtitleBuddy is AWS cloud-based web application that takes video as input, automatically detects multiple languages used and sends subtitle file in email. Project made during the course CSCI 5409 Advanced Topics in Cloud Computing - Winter 2024 at Dalhousie University.
A platform to enhance medical e-Shadowing.
AWS CloudFormation template with resources to automatically create transcriptions of mp3 files added to the S3 bucket using Amazon Trascribe.
Amazon Transcribe's speech to text client for TypeScript.
This repository contains the implementation of various AWS AI Services.
speech to text using AWS service
Transcribe news audio in realtime
Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care prof…
AWS CDK(Java) project to "Transcribe your Audio files using Amazon Transcribe"
多言語対応動画字幕自動生成CLIアプリサンプル
Build a Serverless Application for Audio to Text conversion
An Amazon Transcribe demo to produce a Microsoft Word document containing the turn-by-turn transcription of the audio. This will include additional metadata depending upon the options selected, such as caller sentiment, category identification and issue detection
Live Streamed Alexa Skill development to create a searchable index of the Alexa Office Hours Archives
This repository contains a series of 4 jupyter notebooks demonstrating how AWS AI Services like Amazon Rekognition, Amazon Transcribe and Amazon Comprehend can help you extract valuable metadata from your video assets and store that information in a Graph database like Amazon Neptune for maximum query performance and flexibility.
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