ankit jha

Task Description 📄

📌 In this task :
👉Create a model that will detect a car in a live stream or video and recognize characters on number plate of the car .
👉Secondly , it will use the characters and fetch the owners information using RTO API’s .
👉Create a Web portal where all this information will be displayed (using html,css,and js)
📌 Note : You may create your own detection model .



Feature necessary -
👉 It can launch pods with specific name given by user.
👉 Run deployment using image and name given by user.
👉 Expose services on given user input port number.
👉 Scale the replica according to user need.
👉 Delete complete environment created.
👉 Delete specific resources given by user.
👉 Extra features related to k8s ( Optional)
Note — There should be webUI based menu display so that user can get to know what your webapp can do.

📌 This app will help the user to run all the Kubernetes commands:



Create a program that perform below mentioned task upon recognizing a particular face.

i) When it recognize your face then

👉 It send mail to your mail id by writing this is face of your_name.

👉 Second it send whatsapp message to your friend, it can be anything.

ii) When it recognize second face, it can be your friend or family

👉 Create EC2 instance in the AWS using CLI.

👉 Create 5 GB EBS volume and attach it to the instance.

Step 1 — Create Training Data



By default docker container run in CLI mode i.e if we are running a command that gives the output in the text, it will show on the container's terminal, but if we run a command that uses the graphical unit for output, it will show error.

so we need to do something to run GUI programs inside docker container.

♦ pull a docker container using centos image from dockerhub.
♦Now run the following command

1.) docker run -it -e DISPLAY=$DISPLAY -v /tmp/.x11-unix /: /tmp/.x11-unix/ centos

2.) dbus — uuidgen > /etc/machine-id

♦now in host machine run xhost + local: *
♦install firefox (yum install firefox -y)
♦install python3(yum install python3)
♦install jupyter(pip3 install jupyter )
♦now the container is ready to work with GUI.
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