Sanjeevi567 / DLearningClient

A Rust mini-project that harnesses AWS services for facial and celebrity facial recognition, along with audio processing. Using AWS Rekognition, it can identify faces, including celebrities, within images, providing additional information. Furthermore, it employs AWS services to process audio files, generating transcriptions and PDF Documents.

Deep Learning Application with Amazon Rekognition, Polly, and Transcribe in Rust - CLI Guide

Overview

This README guide provides step-by-step instructions on how to build a deep learning application using Amazon Rekognition, Polly, and Transcribe with Rust through the CLI.

Table of Contents

• Deep Learning Application with Amazon Rekognition, Polly, and Transcribe in Rust - CLI Guide
  • Overview
  • Prerequisites
  • Installation
• AWS CLI Application
  • Examples and Documentation

Prerequisites

Before you begin, ensure you have the following prerequisites:

• Rust installed.
• AWS CLI configured with access to Rekognition, Polly, and Transcribe services.

Installation

1. Clone this repository:

   git clone https://github.com/Sanjuvi/DLearningClient.git
   cd DLearningClient

2. Build the application:

   cargo build --release

3. Set up AWS credentials:

Configure your AWS credentials using the AWS CLI:

aws configure

Follow the prompts to enter your AWS Access Key ID, Secret Access Key, region, and output format.

AWS CLI Application

This CLI application interacts with various AWS services by utilizing the high-level APIs provided by the aws_apis repository. The aws_apis repository encompasses a range of AWS services, including SES (Simple Email Service), RDS (Relational Database Service), S3(Simple Storage Service) and MemoryDB.

Examples and Documentation

For detailed instructions and explanations, please refer to our comprehensive blog post that covers the complete usage of this application.