himanshusharma89/amplifyit

Stars
4
Rank 3,296,448 (Top 66 %)
Language
Dart
License
MIT License
Created over 3 years ago
Updated over 1 year ago

himanshusharma89/amplifyit

himanshusharma89

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A blog app created using Flutter and AWS Amplify

relic_bazaar

A Retro Theme-based e-commerce app for antiques. #Hack20

Flutter-Blog-App

Blog App, an anonymous blog creation application. Created using Flutter Framework and utilizing Firebase backend

Flutter-Card-Carousel

flutter_expansion_view

Project to display for expansion/collapse view works in Flutter.

flutterx100

The #100DaysOfFlutter Challenge Flutter Web App.

himanshusharma89

uni_links_example

A new Flutter project to understand deep linking using uni_links.

secure-storage

A example project to learn how to securely save data locally from your Flutter app.

arcore_example

A new project to learn how to use ARCore in your Flutter App

himanshusharma89.github.io

My profile portfolio responsive website developed with Flutter Web

sharefiles

The application in which we share files using the share package[modified].

clubhouse-clone

codepenchallenge

A repository consisting of all the codepen challenges I completed.

Flutter-Tinder-like-swipe-app

Flutter template which shows-case cards swiping kind of similar to that of Tinder App

Java

This contains java codes and algorithms.

dev

Using GitHub Actions use GitHub Pages to host your Flutter Web app. And much more.

todorocket

The-HackerRank-Interview-Preparation-Kit

This repository contains my self solved code of The HackerRank Interview Preparation Kit.

firebase-github-authentication

GitHub Authentication with Firebase

C-CPP

leetcode

My solutions for the leetcode problems

resume

Coin-Detection-using-MATLAB

The main purpose of this project is to apply edge detection techniques to develop a program which should recognize coins in an image. We used Hugh Transform for coin detection.

machinely

An app, where you learn to use custom TensorFlow Lite models to add Machine Learning capabilities to your app.