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Name: Rahul Reddy Thummala

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Rahul Reddy Thummala's Projects

-a-secure-and-dynamic-multi-keyword-ranked-search-scheme-over-encrypted-cloud-data

• Here, a secure multi-keyword ranked search scheme over encrypted cloud data is presented using JAVA as the frontend technology and backend as MySQL.• Specifically, the vector space model and the widely-used “term frequency (TF) × inverse document frequency(IDF)” model are combined in the index construction and query generation to provide multi-keyword ranked search.• We construct a special tree-based index structure and propose a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search. • The secure kNN algorithm is utilized to encrypt the index and query vectors, and to ensure accurate relevance score calculation between encrypted index and query vectors. • To resist different attacks in different threat models, we construct two secure search schemes: the basic dynamic multi-keyword ranked search (BDMRS) scheme in the known ciphertext model, and the enhanced dynamic multi-keyword ranked search (EDMRS) scheme in the known background model.

android-chat-appp

Chat Application which used Google Firebase as backend.

big-data

course working samples

big-data-technologies-hands-on

My understanding of Big Data and its technologies(over-view) and hands-on

coding-problems

solutions

getoldtweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

hacker-rank

some solved problems

higherlower-game

This is a simple java game using JAVA Swings, Awt, Applets, where you predict the next random card generated from a deck of cards be either higheror lower from the previous. The score is stored and attempts made will be kept track of.

home-automation-using-android-mobile

Here we access different appliances with our mobile phone through internet using Wi-fi.• The micro controller used was Raspberry Pi, with an OS Raspberry in it.• After installing the OS, the Micro controller acts as a CPU. So, now Raspberry Pi is the server (“installed with python socket programming”) and the client here is a mobile phone. • An Android application is developed with JAVA socket programming which works with voice based commands, which is incorporated using the Google voice recognition (which converts voice to text) when connected to internet and acts as a client. This app sends the commands to the Raspberry Pi (server) and the device is thus controlled. • The Android app made is installed on the mobile phone and we keep authenticating for a legitimate user. Once logged into the system, you can access the appliances.

m.bot

A conversational assistant helpful to the research community for scholarly insights

machine-learning

improved machine learning, deep learning models to predict and visualize results on real time data sets

natural-language-processing

A few working examples from course work

neuralnetworks

Assignments and Notes for CSCI 680 - K11

nlp-spell-checker

Algorithm for spell checking and suggesting possible words

python-data-science-project

Examining Mark Twain’s and his contemporaries descriptions of individual locations along the Mississippi river, as well as federal census data and election returns using concepts of text mining.

python-notebooks

Python Notebboks with examples solved in Imperative and Fucntional Programming Paradigms

random-android-applications

Bunch of Android Applicaitons

sentiment-analysis

Being an avid shopper at Costco, I personally like the range of varieties it offers in all kinds of shopping. I usually suggest all my friends and family to shop at Costco. With the help of this data anlaysis, I can show them real statistics based on the reviews I searched. I conducted data analysis on costco to check how often people shop at costco and what they feel about the range of products at costco offers.

sign-language

A very simple CNN project.

webstore

Developed a retail store platform for a website like amazon. Designed and developed Restful web API using PHP and JavaScript framework with MySQL at the backend. The system supports dynamic products database incorporated into it and performs various tasks.

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