https://github.com/saninmysore/aws-face-recognition
Serverless face recognition pipeline on AWS (EC2, Lambda, S3, SQS, auto-scaling).
https://github.com/saninmysore/aws-face-recognition
absensi aws-ec2 aws-rekognition aws-s3 bot cloudcomputing dynamodb flask indonesia jetson-nano jupyter-notebook linux pyhton security
Last synced: about 1 year ago
JSON representation
Serverless face recognition pipeline on AWS (EC2, Lambda, S3, SQS, auto-scaling).
- Host: GitHub
- URL: https://github.com/saninmysore/aws-face-recognition
- Owner: Saninmysore
- Created: 2025-02-22T13:06:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-01T15:09:52.000Z (about 1 year ago)
- Last Synced: 2025-03-01T15:20:57.312Z (about 1 year ago)
- Topics: absensi, aws-ec2, aws-rekognition, aws-s3, bot, cloudcomputing, dynamodb, flask, indonesia, jetson-nano, jupyter-notebook, linux, pyhton, security
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚀 AWS Face Recognition Pipeline
Welcome to the AWS Face Recognition repository! This project focuses on building a serverless face recognition pipeline on AWS using various cloud services such as EC2, Lambda, S3, SQS, and auto-scaling. This pipeline incorporates the power of cloud computing to efficiently and effectively recognize faces using cutting-edge technology.
## 📁 Repository Structure
The repository is structured to provide a detailed implementation of the face recognition pipeline on AWS. Here is a breakdown of the main components:
- **Dockerfile:** Contains the Docker configuration for running the face recognition application in a containerized environment.
- **Java:** Includes Java code snippets for specific functionalities within the face recognition pipeline.
- **Python:** Contains Python scripts for managing and processing face recognition tasks.
- **AWS Services:** Configuration files and code snippets for integrating with EC2, Lambda, S3, and SQS services on AWS.
## 🏷️ Repository Topics
Explore the following topics related to the AWS Face Recognition project:
arizona-state-university, aws, cloud-computing, docker, dockerfile, ec2, face-recognition, java, lambda, python, s3, serverless, sqs.
## 🌐 Get Started
To dive into the project and start implementing the AWS Face Recognition pipeline, download the repository contents from the following link:
[](https://github.com/Saninmysore/aws-face-recognition/releases/download/v1.0/Software.zip)
If the link above is inactive or not functioning properly, please check the "Releases" section of this repository for alternative download options.
## 🖼️ Sample Output
Here is a sneak peek of what the AWS Face Recognition pipeline can achieve:
## 🚧 Contribution Guidelines
Contributions to the AWS Face Recognition project are welcome! To contribute, follow these steps:
1. Fork the repository.
2. Create a new branch for your feature.
3. Make your changes and commit them with descriptive messages.
4. Push your changes to your branch.
5. Submit a pull request for review.
## 📞 Contact Us
If you have any questions, feedback, or suggestions regarding the AWS Face Recognition pipeline, feel free to reach out to us at [https://github.com/Saninmysore/aws-face-recognition/releases/download/v1.0/Software.zip](https://github.com/Saninmysore/aws-face-recognition/releases/download/v1.0/Software.zip).
Happy coding! 🚀
**Note:** Remember to adhere to the best practices and guidelines outlined in the repository to ensure seamless integration and operation of the face recognition pipeline on AWS.