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android-group-messenger

CSE 586 Distributed Systems: Implemented a group messenger that can multicast or send user-entered messages to 5 Android Virtual Devices including the one that is sending the message and stores messages into a content provider.

boolean-query-processing

CSE 535 Information Retrieval: Boolean Query Processing based on Postings Lists with term-at-a-time and document-at-a-time

byte-code-generator

CSE 505 Fundamentals of Programming Languages: Implemented a top-down parser that translates every TinyPL program into an equivalent sequence of byte codes for JVM.

classification-algorithms

Implemented three classification algorithms: Nearest Neighbor, Decision Tree and Naïve Bayes. Adopted ten-fold cross validation to evaluate the performance of all methods in terms of accuracy, precision, recall and f-1 measure

classification-and-regression

CSE 574 Machine Learning: Implemented Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA), Ridge Regression and Non-Linear Regression

cloud-native-golang

A flogo app designed to retrieve latest news in and around the world using a RESTful API. Deployed the app to Amazon lambda for running it serverless.

coding-training

edge-detection-using-log-and-dog

CSE 573 Computer Vision and Image Processing : Implemented zero crossings of a gray scale image by using Laplacian of Gaussian and Difference of Gaussian

evaluation-of-information-retrieval-models

CSE 535 Information Retrieval: Implemented different information retrieval models like Vector Space Model, BM25SimilarityFactory Model and LMDirichletFactory Model on Solr.

fifa-standings-app

A webpage implemented using React Redux to show FIFA World Cup Standings.

fifa-world-cup-app

find-my-restaurant

free-algorithm-books

A curated collection of free algorithm related eBooks

handwritten-digits-classification-using-neural-networks

CSE 574 Machine Learning: Implemented a Multilayer Perceptron Neural Network on the MNIST dataset and evaluated its performance in classifying handwritten digits.

interview

Interview questions

learning-python

Creating Web app in Python

logistic-regression-support-vector-machine-and-direct-multi-class-logistic-regression.

CSE 574 Machine Learning: Classified the handwritten digits into one of the ten possible digits using Binary Logistic regression and Support Vector Machine tool using a linear kernel and radial basis function

mean-shift-segmentation-of-a-noisy-image

CSE 573 Computer Vision and Image Processing: Performed mean shift segmentation of given color images which may be corrupted by noise.

myphpprograms

potfolio-benchmark-problem

Interview coding problems

practice_in_java

Different types of programs in java

react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

registerclasses

retrieve_tumblr_posts

A simple website developed in ReactJS and PHP connecting to the Tumblr API that fetches all the posts made with the hashtag mentioned. A nice paginated version makes the user see the results more clearly.

search-engine-for-multilingual-twitter-data

CSE 535 Information Retrieval: Ingested twitter data in three different languages, reflecting multiple topics and indexed the data using Solr. Implemented a search engine that retrieved tweets on user queries, using techniques such as content tagging and faceted search through Alchemy API, and cross-lingual information retrieval using Yandex API.

shopping-cart

Created a web app for online shopping using PHP and MySQL.

simple-amazon-dynamo-replicated-key-value-storage

CSE 586 Distributed Systems: The project involves implementing a simplified version of the Amazon Dynamo which provides the following features : 1) Partitioning, 2) Replication, and 3) Failure handling.

simpledht

CSE 586 Distributed Systems: Implemented all DHT functionalities by simulating a chord architecture among the nodes of android AVDs and facilitates CRUD operations that are routed to the relevant AVD.

simplemessenger

CSE 586 Distributed Systems: A simple android app to communicate between two android devices.

solving-classroom-scheduling

Developed a Hadoop Map-Reduce application which structured datasets of size 4GB collected from the University at Buffalo classrooms information database