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Ankush Chavan  • Peerlist

This web app is developed by using Django and Twittet API. It automatically fetch and likes the recent tweets for entered keywords. Also, the deployment is automated by using Docker and DockerCompose.

Technologies used: Django, Python, Docker.

AutoTweetLiker

Many of the non-technical developers don’t understand the commands. And remembering all of the commands is a tedious task. So, as a solution to this problem, I’d started working on an App which is a Terminal User Interface (TUI). By using this app, users don’t require to remember the commands for accessing the AWS cloud using CLI.

This app provides managed options of different AWS services. User required to choose the service he wants to use. And required to enter the appropriate information. And the command will be executed behind the scene for the user.

By using this app user will get the power of CLI without even typing and remembering a single command.

Technologies used: Linux, Python3.

AWS-TUI

This application is the clone of the WhatsApp mobile application developed using Flutter.
• UI similar to that of the WhatsApp mobile app
• Real-time messaging using Firebase firestore and StreamBuilders
• Real-time location features using Google GPS services.
• Fully responsive mobile app

Technologies used: Flutter, Firebase, Google GPS API

Chat App

As there is no direct app to send the output of the commands executed on CLI to the Whatsapp contacts. To overcome this problem, I'd written this script by using which we can send the output of the CLI commands directly to the WhatsApp contacts.

This script accepts the command to execute on CLI and the phone number of the contact to whom we want to send the output of that command. After that, it will redirect to the WhatsApp-Web and selects the contact with a message as a CLI output. We just have to click on the send button and the CLI output will be sent to the entered WhatsApp contact.

Technologies used: Shell Script.

CLI To WhatsApp

This the clone of the Instagram mobile application developed using Flutter and Firebase.
• Real-time feed using Firebase firestore
• Object detection using Machine Learning
• Fully responsive mobile app

Technologies used: Flutter, Firebase, Machine Learning

Instagram clone

This is an Ansible collection that provides an automated way for configuring the Kubernetes Multi-node cluster.
• This collection contains two roles. One role for configuring the Kubernetes master node and another role for configuring the Kubernetes slave node.
• Supports RedHat Enterprise Linux v8, Amazon Linux 2, and Ubuntu Server 20.04 LTS.

Technologies used: Ansible, Kubernetes, AWS, RHEL8

Source code: https://github.com/cankush625/kubernetescluster

kubernetescluster collection

    This is a desktop application developed by using JavaFX for UI and Java as the backend language. This app uses MySQL as the database. This app is used to manage the tasks that we have to perform in the future. Also, it keeps the previous tasks that we had saved.
    This app can run seamlessly on any desktop platform like Windows, Linux, and Mac OS.

Technologies used: Java, JavaFX.

TaskStack

This is the clone of the TikTok application using ReactJS
• Fully responsive web app

Technologies used: ReactJS, Firebase Hosting, MongoDB, ExpressJS, NodeJS

TikTok clone

This is the clone of the Tinder application
• Fully responsive web app
• Implemented swiping functionality

Technologies used: ReactJS, Firebase Hosting, MongoDB, ExpressJS, NodeJS

Tinder clone

This is an cross-platform mobile app developed using Flutter(App development framework by Google). This app shows the current time at different regions of the world using world-time API.

Technologies used: Flutter, Dart