vatsal259

advocate-management

c-programs

CarCom

A car review and comparison site.

cargo-management

Spring Boot REST API application for cargo-management

cloud_haiku

Community-made poetry about infrastructure

Counting-of-missing-data-in-a-dataset

FigmaPlugin

git

GoldenHack

hacktoberfest

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

vatsal259/advocate-management

vatsal259/c-programs

vatsal259/CarCom

A car review and comparison site.

vatsal259/cargo-management

Spring Boot REST API application for cargo-management

vatsal259/cloud_haiku

Community-made poetry about infrastructure

vatsal259/Counting-of-missing-data-in-a-dataset

vatsal259/FigmaPlugin

vatsal259/git

vatsal259/GoldenHack

vatsal259/hacktoberfest

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

vatsal259/ISA-GIT-

vatsal259/Leetcode_solutions

These are the some of the solutions from Leetcode written by me.

vatsal259/Kraken

vatsal259/ML

vatsal259/portfolio

vatsal259/Process-semaphore

vatsal259/ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

vatsal259/Removing-of-missing-data-and-replacing-of-missing-data

vatsal259/Significance-of-bit-in-Image-Steganography

Now we are making use of two methods for image to image steganography. As we are already aware that individual combinations of pixels form an image. Each pixel is associated with RGB(Red Green Blue) values. A pixel takes 3 bytes, one for each color of RGB and each byte consists of 8 bits. For image to image steganography, image 1 will be merged with image 2. In this case, we are taking 4 bits from image 1 and 4 bits from image 2. This forms a new stegano image which combines the first four bits from the second image and next four bits from the first image. However, we are appending four zeros in the last 4 bits of the final image in order to increase the brightness. Regardless of using the least bit algorithm, we still can observe some level of distortions affecting the quality of the final stegano image. Hence, the second method overcomes this problem by using the first two bits of image 1 and the first six bits of image 2. The final stego image combines the first six bits of the second image and the first two bits of the first image. In this case, too six zeros will be appended, thereby producing a better quality of the final image adding more brightness to the image.

vatsal259/Sorting-and-filtering-of-dataset

vatsal259/text-summarization-using-LexRank

vatsal259/Text-summarizer

vatsal259/Useful-templates

This repo contains the templates for club that are used regular club activities.

vatsal259/WildHacks