Sarath Kumar Prabhakran's Projects
Website Developed with Bootstrap,CSS,HTML for Professional Purpose
Examples Developed Along the Course,Applications are usually developed in Java programming language using the Android software development kit (SDK).
Applications developed with Angular 4 , Build features quickly with simple, declarative templates. Extend the template language with own custom components and use a wide array of existing components, Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in real time to every connected client
HTML enhanced for web apps
CarTracker - Backend Developed with SpringMVC REST API + JPA
CloudPebble source. Here be dragons.
A Object Oriented charting Dashboard built using javascript used for visualization Purpose
Solving Data Structure and Algorithms with Python
Full Stack Backend - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications., MongoDB is the leading NoSQL database, empowering businesses to be more agile and scalable, Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.
Basic JSP Version of an Online Web Application
An servlet Based Application using MongoDB,JavaScript,JQuery
Link State Algorithm written in java
Web Application for To-Do Remainders using Meteor.js and MongoDB
Course Related Practice Files, Different Sections such as Introduction and Overview.Creating, Reading and Updating Data (CRUD), Schema Design, Performance, Aggregation Framework, Application Engineering on MongoDB using Java
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
Files for Udemy Course on Algorithms and Data Structures
Apps developed with React (JAVA-SCRIPT LIBRARY FOR BUILDING USER INTERFACES)-Redux (predictable state container for JavaScript apps.)
Servlet Based E-Commerce Application
Empirical Analysis of Predictive Algorithms for Collaborative Filtering, constructing a Social Network using Twitter Data, Community Detection and Link Prediction using Facebook βLikeβ Data, Categorizing Movie Reviews based on Sentiment Analysis, Content-based Recommendation Algorithm using Python, Pandas, Numpy and scikit-learn.
This repo is for demonstration purposes only.
Project Files developed with Spring,Hibernate and Java Persistence API
Web Developer Boot camp Practice code