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Munieshwar Ramdass's Projects

bump_fingerprints icon bump_fingerprints

Biometric fingerprinting scanners take several reference points on a person's finger for comparision with a known print. Therefore, the hold fingerprint itself is not used. There is a threshold the newly scanned print must meet to "match" the known print. With this said, it may be possible for two very similar fingerprints to "match." As long as the reference points in consideration to the part of the fingerprint aline, this will be considered a "match." Other locations of the fingerprint will not matter in such a scenario. This program seeks out different fingerprints that "match" within a database of several persons' fingerprints. One or more of these prints will be considered "bump" fingerprints. The hope is to have these prints match fingerprints from other databases.

iudis icon iudis

Integrated University Department Information System

johnny_dep icon johnny_dep

Shows the dependency tree for a package using default Python setup.

message_digest_detective icon message_digest_detective

Checks files of a desired directory against the NSRL RDS to find malicious or unknown files. These files are then checked against VirusTotal to determine if malicious or unknown.

message_digest_detective_api icon message_digest_detective_api

Checks files of a desired directory against the NSRL RDS to find malicious or unknown files. As a last resort, these files are then checked against VirusTotal to determine if malicious or unknown.

re-engineered_quant-based_tool icon re-engineered_quant-based_tool

Research and develop probabilistic genotyping software in forensic DNA testing and casework. Devise a method for detecting the false positive rate for any potential genotype to a complex DNA mixture. Logic implemented in C++. GUI implemented in R. Made to replicate OCME's Forensic Statistical Tool (FST).

simple_site icon simple_site

This simple site was built using Python, Flask, Gunicorn, NGINX, and HTML5/CSS3/Bootstrap 4. This was merely for practice for simple code deployment and manual virtual server administration.

static_sign_analysis icon static_sign_analysis

Uses Angr to compute the CFG of a binary, parse IR, determine signs of registers and stack variables, and output division-by-zero if any.

thrift_key_value_store icon thrift_key_value_store

Simple Thrift server and client along with consistency test algorithm. Done for Distributed Systems.

twitter_map icon twitter_map

Web Application that allows users to search keywords from an AWS Elasticsearch Service powered by AWS Elastic Beanstalk. The Twitter Streaming API is used to send tweets to AWS SQS which is then handled by a worker that judges a tweet's sentiment or whether tweets are positive, negative, or neutral - this leverages IBM's Natural Language Understanding API. Once a sentiment is obtained, tweets are pushed to AWS SNS service which then are pushed to services that are interested in this topic. User may ask an HTTP/HTTPS, email, or SMS endpoint to subscribe to this AWS SNS topic. In this case, AWS Elasticsearch is the endpoint that is subscribed to the SNS topic. A web interface is provided to view tweets or filter them. Viewers may read the tweet and its corresponding sentiment by hovering over them on Google Map.

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