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msaarthak's Projects

alpr-knn icon alpr-knn

This repository contains a system that performs Automatic License Plate Recognition using Machine Learning classifier K-Nearest Neighbors. This project was performed with the help of YouTuber Chris Dahms. You can find his Github repositories here: - https://github.com/MicrocontrollersAndMore

alpr-yolov3 icon alpr-yolov3

We can use Object Detection algorithm to detect the license plate from an image or video and then we can perform OCR or Optical Character Recognition on the cropped license plates. By splitting the problem into two components, we have made it easier and efficient to perform License Plate Recognition (LPR). Hence, the problem can be divided into two sub-problems as we mentioned above: 1. Number Plate Detection. This problem can be tackled using Object Detection approach where we need to train our model using the car/other vehicle images with number plates. 2. Extracting text from the detected Number Plate. This problem can be solved using OCR (Optical Character Recognition) which can be helpful in extracting alphanumeric characters from cropped Number Plate images.

cfi-pintool icon cfi-pintool

In today's world, there are a lot of software vulnerabilities. We study Control Flow Integrity that prevents a widely-known attack called Return-Oriented Programming. CFI restricts the control flow of an application to valid execution traces. We used Intel Pin Tool, C Programming Language and Linux OS (Ubuntu) to help demonstrate CFI.

clusteringnetworks-eammhvsleach icon clusteringnetworks-eammhvsleach

This repository develops a system to perform a comparison between two energy efficient protocols in Wireless Sensor Networks(WSN) - EAMMH and LEACH.

crypto-rsavselgamal icon crypto-rsavselgamal

Elgamal and RSA algorithms are widely used for data authentication and confidentiality. In this project we compared the performance of both algorithms and concluded that Elgamal is more efficient than RSA.

go icon go

The Open Source Data Science Masters

sentimentanalysisrnn icon sentimentanalysisrnn

This project involves solving the problem of Sentiment Analysis of large movie reviews made up of large sentences. We used the architecture of Recurrent Neural Networks with the use of Gated Recurrent Units(GRU).

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