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Emmanuel Raj's Projects

aslz icon aslz

Deploying Enterprise Azure Secure Landing Zones with Terraform

awful-ai icon awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

chatbot-banking icon chatbot-banking

Sample code only, chatbot which compares and switches various retail banking services. (node.js, angular.js, REST api's, integrations, botbuilder.js). To use the live bot, visit this facebook page and send message to get started

cloudator-app icon cloudator-app

A weather application which gives live weather updates, severe weather alerts and multiple cities forecast. Technologies used: React.js(ES6), Node.js, Rest API, Javascript, Jquery, HTML 5 and CSS 3.

courses-app icon courses-app

Course Manager app with ReactJS framework to manage courses for admins or authors on an e-learning website.

fashion-e-commerce icon fashion-e-commerce

Sample code for e-commerce website for Finnish fashion startup up Dashiki Oy. [React.js, MongoDB, HTML 5,CSS 3, Javascript]

fintech-api icon fintech-api

Fintech payment gateway using Django Rest Framework and Postgresql. Built a Database and API's for a fintech company that acts as an Issuer.

flint icon flint

A Time Series Library for Apache Spark

generealar icon generealar

Website - Landing page for a Helsinki based gaming startup. To check the live website, please visit

giosgapp icon giosgapp

Make HTTP GET request to Giosg API and display formatted data on a UI

hotelier-interiors icon hotelier-interiors

Web app to for Hotelier Interiors customers to find/book their partner hotels around the world (node.js, angular.js, mongoDB, JQuery, Javascript, HTML, CSS). This project is only backend(API's and database setup) front end is not public. To view from end please visit:

image-net icon image-net

Image Classification Task - ImageNet is a famous computer-vision dataset used for object recognition

reactjs-realtime-chat-app icon reactjs-realtime-chat-app

This is a web based chat application(like facebook messenger) which has features like display real time online users, chats and chat history. Technologies used React.js(ES6), Node.js, websocket server, HTML, CSS

sentiment-analysis icon sentiment-analysis

Sentiment analysis using data from HBO and Netflix movie reviews. Using Sklearn. Classifiers: BernoulliNB, Random Forest and GaussianNB

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