nomanHasan/ramda-react-chart

Stars
1
Language
JavaScript
Created about 7 years ago
Updated about 7 years ago

nomanHasan/ramda-react-chart

nomanHasan

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

todo-api

A simple todo API made with NodeJS, ExpressJS and MongoDB. Can be used as a back-end for learning front-end technologies without making a standalone API for that purpose.

todoapp-angular-ngrx

An Angular app where tasks can be created, read, updated and deleted and completed. The state management was done with Reactive, functional state management library - NgRx.

todoapp-react

Todo Frontend App made in React + Redux. Tasks can be created, read, updated, deleted and completed. Date can be customized. Semantic-UI-React was used as the UI Library.

DXBall

This is a Game made for Android platform. This is a Remake of the popular and legendary game - DX Ball. I have made this game integrate well with touch inputs and support unlimited stage at random difficulty setting.

todoapp-angular

An Angular app to serve as a frontend of Todo App. Tasks can be created, read, updated and deleted here.

ng-window

A Resiable and Movable window Component for Angular 2+

NLP-Based-WIKI-Agent

This is a Conversational Agent based on NLTK and Stanford CoreNLP, Where you can ask a question and the agent analyzes the parts of speech and grammatical structure and tries to find the appropriate answer by dependency parsing the article.

MEENstack

MongoDB, Express, EJS, Node stack Application

Node-Express-Mongo-REST-API-Server

media-server

todo-ui-react-redux

todo React App made with Redux.

ForumSite

This is a Forum Site. Developed in ASP.NET I have used MVC Architecture to develop this Site. For Database I have used Oracle 11g2. This Site has all the vasic functionality of a proper Forum Site plus Some social networking features like creating Status, Managing timeline, sending messages and joining in group chat.

FaceRecognition1.2

This is a Face recognition System capable of recognizing faces, saving them to database. And it can train from face database like AT&T or Yale Face Database. It also let the user login into the system by looking at the camera.