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algowiki

Repository which contains links and resources on different topics of Computer Science.

ansible-playbook-to-configure-webserver-inside-docker-container

aws-webserver-wordpress

calculator

Created with CodeSandbox

calculator-

car-number-plate-detection

👉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 .

certificate-maker

chat-server-

CODE A UDP CHAT SERVER IN PYTHON

cs50w-project0-google-search

A clone of Google's Search Advanced Search and Images.

cybersecurity-bootcamp-shapeai

cybersecurity_shapeai

We Learn So Many Stuffs In This 7 Days Free Bootcamp on PYTHON AND CYBER SECURITY

demo_project

dsa-solution

ec2-role

eco-fertilization

face-recognise

BY FACE RECOGNITION SEND MAIL, WHATSAPP, AND LAUNCH EC2 INSTANCES

finalyearproject

flutter-ai-radio-app

gitdemo

gui-container-on-docker

🔅 Launch a container on docker in GUI mode 🔅 Run any GUI software on the container

helm_chart_jenkins

image-creation

Creating an image using cv2 Module

jfrog-docker-repo-simple-example

Getting started with JFrog Docker Repos - Example

k8s-master

k8s-slaves

k8s_cluster

kubernetes-webui

create webUI page as such that using normal English conversation your all commands can run in background. Example - when we write 'run deployment using httpd image' then it run complete deployment command in backend. 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.

machine-learning-based-nutrient-recommendation-system-for-soil-fertilisation

merge-images

Merging images using cv2 Module

ml_from_scratch

Learning and rediscovering ML from total scratch