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Sarath Kumar Prabhakran's Projects

aboutme icon aboutme

Website Developed with Bootstrap,CSS,HTML for Professional Purpose

androidapps icon androidapps

Examples Developed Along the Course,Applications are usually developed in Java programming language using the Android software development kit (SDK).

angular icon angular

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

auto-tracker icon auto-tracker

CarTracker - Backend Developed with SpringMVC REST API + JPA

dataframedashboard icon dataframedashboard

A Object Oriented charting Dashboard built using javascript used for visualization Purpose

fullstackbackend icon fullstackbackend

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.

mongocoursefiles icon mongocoursefiles

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

reactapps icon reactapps

Apps developed with React (JAVA-SCRIPT LIBRARY FOR BUILDING USER INTERFACES)-Redux (predictable state container for JavaScript apps.)

socialnetworkanalysis icon socialnetworkanalysis

Empirical Analysis of Predictive Algorithms for Collaborative Filtering, constructing a Social Network using Twitter Data, Community Detection and Link Prediction using Facebook β€˜Like’ Data, Categorizing Movie Reviews based on Sentiment Analysis, Content-based Recommendation Algorithm using Python, Pandas, Numpy and scikit-learn.

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