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Ꮋꭼꮮꮮꮎ, Ꮖ'ꮇ Ꭱꮋꭼꮇꭺ

🗣️ "Ray-ma"

  • 𝙲𝚘𝚖𝚙𝚞𝚝𝚎𝚛 𝚂𝚌𝚒𝚎𝚗𝚌𝚎 𝚐𝚛𝚊𝚍𝚞𝚊𝚝𝚎 𝚜𝚝𝚞𝚍𝚎𝚗𝚝 𝚊𝚝 𝚁𝚞𝚝𝚐𝚎𝚛𝚜 𝚄𝚗𝚒𝚟𝚎𝚛𝚜𝚒𝚝𝚢-𝙽𝚎𝚠 𝙱𝚛𝚞𝚗𝚜𝚠𝚒𝚌𝚔
  • 𝙲𝚞𝚛𝚛𝚎𝚗𝚝𝚕𝚢 𝚒𝚗𝚝𝚎𝚛𝚟𝚒𝚎𝚠𝚒𝚗𝚐 𝚏𝚘𝚛 𝚂𝙳𝙴 𝚛𝚘𝚕𝚎𝚜 𝚝𝚘 𝚋𝚎𝚌𝚘𝚖𝚎 𝚊 𝚏𝚞𝚕𝚕-𝚝𝚒𝚖𝚎 𝚂𝚘𝚏𝚝𝚠𝚊𝚛𝚎 𝙳𝚎𝚟𝚎𝚕𝚘𝚙𝚎𝚛!
  • 𝚁𝚎𝚊𝚌𝚑 𝚖𝚎 𝚟𝚒𝚊 𝙻𝚒𝚗𝚔𝚎𝚍𝙸𝚗 𝚘𝚛 𝙴𝚖𝚊𝚒𝚕 ([email protected])

🌐 𝔽𝕚𝕟𝕕 𝕞𝕖 𝕠𝕟:

Codepen LinkedIn
𝑪𝒉𝒆𝒄𝒌 𝒎𝒚 𝒑𝒆𝒓𝒔𝒐𝒏𝒂𝒍 𝒘𝒆𝒃𝒔𝒊𝒕𝒆: https://rhemamarneni.github.io/Portfolio

💻 𝕋𝕖𝕔𝕙 𝕋𝕠𝕠𝕝𝕜𝕚𝕥:

JavaScript Express.js NodeJS jQuery Nodemon Jasmine NPM

HTML5 CSS3 SASS Bootstrap       Java       MySQL Postgres

Python Matplotlib NumPy Pandas PyTorch       Apache Spark       Postman

Canva Figma      

𝐶𝘳𝑒𝘥𝑖𝘵𝑠: ℎ𝘵𝑡𝘱𝑠://𝑦𝘢𝑦𝘵𝑒𝘹𝑡.𝑐𝘰𝑚/

Rhema M's Projects

caesarcipher icon caesarcipher

A basic implementation of the Caesar Cipher encryption using Java

calculator icon calculator

The OG Calculator App. My profile's been desperately longing for one, to make me look like THE Software Developer.

galactic-journal-blog-application- icon galactic-journal-blog-application-

Galactic Journal is a blog application that lets users create, view, edit and delete them. This application is built using Node.js, Express.js and PostgreSQL. It is currently a multi user application with local and Google authentication strategies

greenscreen icon greenscreen

Create a webpage to upload image and implement green screen algorithm

news-website icon news-website

A news website that displays top headlines and news from various categories using RESTful APIs

pagesagexpert-wikipedia-search-engine icon pagesagexpert-wikipedia-search-engine

🥇 "Exceptional Project Award" ~ Rutgers CS || A Massive Data Search Engine Application that computes PageRank for entire Wikipedia dataset till November 2019 through Spark Distributed Processing and Block Stripe Analysis.

php-login-system icon php-login-system

A signup and login system with form validation and error handling in the backend with PHP

some-iot-programs icon some-iot-programs

Some basic IOT programs I have done in the past using Raspberry Pi and a couple of sensors using Python language.

to-do-list icon to-do-list

To do List with CRUD operations persistent with PostgreSQL

visualization-and-analysis-of-depressed-users-using-social-network-analysis-tool icon visualization-and-analysis-of-depressed-users-using-social-network-analysis-tool

The exponential increase in the number of social media users is quite pronounced over the past few years. As of 2021, there are at least 4.48 billion users across a plethora of social sites. There are various platforms that have provided the most effective and easiest means of communication. However, with the rise in the usage of social media, there arise consequences of various excited, frenetic, anxious, or even suicidal behaviours. Through the application of Social Network Analysis – a subdomain of Data Analytics that deals with social structures as graphs – the behaviours of users can be brought under analysis after visualizing them as nodes and edges. Analysis of these users can be done by utilizing the concepts of graph theory. This project uses a visualization tool call Gephi to implement this idea. Real time Twitter data is imported into Gephi, using a Twitter API obtained through a Twitter Developer account, to perform analysis on the users, while applying concepts like modularity, centrality measures etc., along with few algorithms and layouts that are inherently a part of this tool. This implementation can reveal key components, inter-dependencies, and importance of entities in respect to other nodes, enabling us to better understand the mental behaviours in our networks. It can be a helpful analytical tool that can be embedded into social media platforms to detect depression, with an extended idea of identifying influencers and dangerous users, if any, in the process.

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