Swaraj Kumar Singh's Projects
A Full-Featured Mobile Browser App (such as the Google Chrome mobile browser) created using Flutter and the features offered by the flutter_inappwebview plugin.
flutter_cli helps to install package from cmd.
Encrypt and Decrypt strings with custom salt in flutter with pure Dart code.
Flutter Package contains common utility functions(approuter, snackbar, network functions and more published on Pub dev.
Customizable logger in flutter with pure dart code, with various color options, get insights like(where the print statement is called from and get time of the log), also view/delete old logs. Published on Pub.dev
Flutter cli to generate clean code folders and file programmatically with pure dart independent code
Flutter Phone-Number Authentication, with Getx and other utils like toast and error-handler.
Display traditional flutter snackbar without BuildContext with pure dart code, published on Pub dev.
this is an imcomplete training ap which will be completed later
Complete GaadiDho ( early startup ) App UI clone, with clean code, and custom theming, various utility functions, custom fonts firebase auth and more
Demonstration how to use Datadog, Prometheus, Grafana and Loki in production servers.
Production ready dynamic Golang email consumer service with AWS SQS(Simple Queue Service) & AWS SES(Simple Email Service) written in Golang for high availability, scaling & blazing fast performance , Dockerized for easy development & Deployment
Dynamic aws sqs producer suitable for any type of datatypes written in Golang, Dockerized for easy to use
Demonstration how to use Docker with Nodejs (docker compose, .dockerignore, Dockerfile)
A Basic Tutorial on Using Temporal with Golang by Creating Simple Workflow and Activity, and watching them real-time on temporal dashboard
This project, will help to scrape any website and get it html code pared successfully.
This is a bootstrap website
Job data digger, scrapes various website and makes it available in a single API, and refreshes every 24hr
Basic Linear regression model using Pytorch, to predict number of crops growth with rainfall, temperature, humidity as model's parameter