DataSetCollector is a part of our graduation project which helps us to gather dataset for training our AI model, which interprets specific meaning form non-verbal gestures that a person makes.

This project contain collector_backend folder, inside it the source code and Dokcerfile for building its image, as long as the backend and other component.

Terraform folder contain some terraform files such as the root main.tf, varaibles.tf, output.tf and two modules.

• We used docker-compose.yaml to put our instruction to run both images with hardcoded tags from our dockerhub private repo, although mount it with presist volume to save any data sent to us, exposing necessary ports to connect to both container.

Jenkinsfile contain four stages:

• Clone repository: this stages ensure changes that pushed are cloned to keep up to date the pipeline.
• Build both image: this tage contain 2 external groovy files, one for building frontend image commands, another for backend.
• Push to dockerhub: here we pushing images to private dockerhub to manage our images. Make sure you added ur credentails on Jenkins.
• Deploy on EC2: after provisioning AWS infrastructure, we deploy the two images on EC2 instance t2.medium type.

Finally, you can access it using www.dataset-collector.online