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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Portfolio</title>
<meta content="portfolio" name="description">
<meta content="anishman" name="keywords">
<meta property="og:image" content="assets/img/android-chrome-192x192.png">
<meta property="og:image:type" content="image/png">
<meta property="og:image:width" content="192">
<meta property="og:image:height" content="192">
<!-- Favicons -->
<link href="assets/img/favicon-32x32.png" rel="icon">
<link href="assets/img/android-chrome-192x192.png" rel="apple-touch-icon">
<!-- Vendor CSS Files -->
<link href="assets/vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">
<link href="assets/vendor/bootstrap-icons/bootstrap-icons.css" rel="stylesheet">
<link href="assets/vendor/glightbox/css/glightbox.min.css" rel="stylesheet">
<link href="assets/vendor/swiper/swiper-bundle.min.css" rel="stylesheet">
<!-- Template Main CSS File -->
<link href="assets/css/style.css" rel="stylesheet">
<link href="assets/css/experience.css" rel="stylesheet">
<!-- =======================================================
* Template Name: DevFolio
* Updated: Mar 10 2024 with Bootstrap v5.3.3
* Template URL: https://bootstrapmade.com/devfolio-bootstrap-portfolio-html-template/
* Author: BootstrapMade.com
* License: https://bootstrapmade.com/license/
======================================================== -->
</head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-LPPGWXFQ4W"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-LPPGWXFQ4W');
</script>
<body>
<!-- ======= Header ======= -->
<header id="header" class="fixed-top">
<div class="container d-flex align-items-center justify-content-between">
<h1 class="logo"><a href="index.html">PORTFOLIO</a></h1>
<!-- Uncomment below if you prefer to use an image logo -->
<!-- <a href="index.html" class="logo"><img src="assets/img/logo.png" alt="" class="img-fluid"></a>-->
<nav id="navbar" class="navbar">
<ul>
<li><a class="nav-link scrollto" href="#hero">Home</a></li>
<li><a class="nav-link scrollto" href="#about">About</a></li>
<li><a class="nav-link scrollto" href="#education">Education</a></li>
<!--<li><a href="#work">Experience</a></li> -->
<li><a class="nav-link scrollto" href="#work">Experience</a></li>
<li><a class="nav-link scrollto" href="#project">Project</a></li>
<li><a class="nav-link scrollto" href="#contact">Contact</a></li>
</ul>
<i class="bi bi-list mobile-nav-toggle"></i>
</nav>
<!-- .navbar -->
</div>
</header>
<!-- End Header -->
<!-- ======= Hero Section ======= -->
<div id="hero" class="hero route bg-image" style="background-image: url(assets/img/infinity.jpg)">
<div class="overlay-itro"></div>
<div class="hero-content display-table">
<div class="table-cell">
<div class="container">
<p class="hero-subtitle"><span class="typed" data-typed-items="Hi I'm Dhimant!, Graduate Student | IR Analyst Intern | Aspiring Software Developer,"></span></p>
</div>
</div>
</div>
</div>
<!-- End Hero Section -->
<main id="main">
<!-- ======= About Section ======= -->
<section id="about" class="about-mf sect-pt4 route">
<div class="container">
<div class="row">
<div class="col-sm-12">
<div class="box-shadow-full">
<div class="row">
<div class="col-md-6">
<div class="row">
<div class="col-sm-6 col-md-5">
<div class="about-img">
<img src="assets/img/Dhimant_image.jpeg" class="img-fluid rounded b-shadow-a" alt="">
</div>
</div>
<div class="col-sm-6 col-md-7">
<div class="about-info">
<p><span class="title-s">Name: </span> <span>Dhimant Adhikari | Pythonista</span></p>
<p><span class="title-s">Position: </span> <span>Institutional Research Analyst Intern </span></p>
<p><span class="title-s">Role: </span> <span>Graduate Student</span></p>
<p><span class="title-s">Location: </span> <span>Midland, Texas</span></p>
<p><span class="title-s">Email: </span> <span>[email protected]</span></p>
<!-- <p><span class="title-s">Phone: </span> <span></span></p> -->
<div class="social-links">
<a class="icon-modify" href="https://github.com/dhimant2299" target="_blank" title="View my GitHub Account">
<span><i class="bi bi-github"></i></span>
</a>
<a class="icon-modify" href="https://www.linkedin.com/in/dhimant-adhikari-b1068b25b/" target="_blank" title="View my LinkedIn Profile">
<span><i class="bi bi-linkedin"></i></span>
</a>
<a class="icon-modify" href="https://raw.githubusercontent.com/dhimant2299/dhimantadhikari/main/Dhimant-Adhikari-Resume.pdf
" target="_blank" title=" Click to Download my Resume">
<span><i class="bi bi-file-earmark-pdf"></i></span>
</a>
</div>
</div>
</div>
</div>
<div class="skill-mf">
<h4 class="title-s">Skills</h4>
<!-- Programming Languages -->
<span>Python</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 95%" aria-valuenow="95" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Java</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 95%" aria-valuenow="95" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>SQL, SQLite</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 90%" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<!-- Data Analysis and Visualization -->
<span>Data Visualization (Matplotlib, Tableau, Seaborn)</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 90%" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Pandas</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 95%" aria-valuenow="95" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Numpy</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 80%" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Scikit-Learn, PyTorch</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 70%" aria-valuenow="70" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<!-- Web Development -->
<span>Frontend Development (HTML, CSS, JavaScript)</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 80%" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Backend Development (Node.js, Express.js, React)</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 80%" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<!-- Tools and Databases -->
<span>Git</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 85%" aria-valuenow="85" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>Streamlit</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 95%" aria-valuenow="95" aria-valuemin="0" aria-valuemax="100"></div>
</div>
<span>MongoDB</span>
<div class="progress">
<div class="progress-bar" role="progressbar" style="width: 90%" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="about-me pt-4 pt-md-0">
<p class="lead">
Hi there! I'm Dhimant, a curious and ambitious Computer Science graduate student at the University of Texas Permian Basin.
I thrive on learning, exploring, and applying new concepts, whether it’s mastering the intricacies of neural networks or refining my Pythonic coding style with insights from *Fluent Python*.
</p>
<p class="lead">
My passion lies in building innovative solutions, from crafting neural networks from scratch to developing intuitive web applications.
I enjoy working with Python, Java, and JavaScript, and am skilled in frameworks like React and Node.js, as well as database systems like MongoDB and MySQL.
</p>
<p class="lead">
Beyond coding, I value growth through collaboration and mentorship. As an Orientation Leader at UTPB, I cultivated leadership and communication skills by guiding students through their academic journeys, a role that taught me the importance of community and empathy in any endeavor.
</p>
<p class="lead">
When I’m not immersed in code, you’ll find me reading, strategizing over a chessboard, or brainstorming ideas for my next project.
I’m excited about opportunities to contribute to impactful, cutting-edge solutions while continuing to learn and grow.
</p>
<p class="lead">
Thanks for stopping by! Let’s connect and build something amazing together.
</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section><!-- End About Section -->
<section id="education" class="portfolio-mf sect-pt4 route">
<div class="container">
<div class="row">
<div class="col-sm-12">
<div class="title-box text-center">
<h2 class="title-a">Education</h2>
</div>
</div>
</div>
<!-- Education Item 1 -->
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Master of Science in Computer Science</h2>
</div>
<div class="col-md-2">
<div class="github">
<span style="color:#c2bf24;">May 2025</span>
</div>
</div>
</div>
<div class="row">
<span class="w-category">
<strong>University of Texas Permian Basin</strong><br>
Relevant Courses: Advanced (Web-Dev, OS, Database), Computer Architecture and Organization, <br>
Genetic Algorithms, Convolutional Neural Networks, Real-Valued Neural Networks.<br>
Cumulative GPA: TBD<br>
Highlights: Neural network projects, data visualization tools, Cache Memory Simulator.
</span>
</div>
</div>
</div>
</div>
<!-- Education Item 2 -->
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Bachelor of Science in Computer Science</h2>
</div>
<div class="col-md-2">
<div class="github">
<span style="color:#c2bf24;">May 2023</span>
</div>
</div>
</div>
<div class="row">
<span class="w-category">
<strong>University of Texas Permian Basin</strong><br>
Relevant Courses: Object-Oriented Programming, Database Systems, and Software Development.<br>
Cumulative GPA: 3.81<br>
Highlights: Built a Java-based World Cup data analytics tool and contributed to campus tech workshops.
</span>
</div>
</div>
</div>
</div>
</div>
</section>
<div id="work" class="section-counter paralax-mf bg-image" style="background-color: #302f2f;">
<div class="overlay-mf"></div>
<div class="experience">
<div class="container">
<div class="title-box text-center">
<h2 class="title-a">Work Experience</h2>
</div>
<div class="timeline">
<!-- Timeline Item 1 -->
<div class="timeline-item left wow slideInLeft" data-wow-delay="0.1s">
<div class="timeline-text">
<div class="timeline-date">May 2024 - August 2024</div>
<h2>Student Orientation Leader</h2>
<h4>University of Texas Permian Basin, Odessa, Texas</h4>
<p class="color-text">
In this role, I coordinated and led university tours for freshman students, providing them with a comprehensive overview of campus facilities, academic programs, and student services.
I also assisted new students in navigating their transition to university life by offering guidance and support, and I facilitated orientation events, workshops, and activities designed to acclimate students to the university environment.
This experience not only honed my organizational and communication skills but also deepened my commitment to enhancing the student experience at UTPB.
</p>
</div>
</div>
<!-- Timeline Item 2 -->
<div class="timeline-item right wow slideInRight" data-wow-delay="0.2s">
<div class="timeline-text">
<div class="timeline-date">October 2024 - Current</div>
<h2>Institutional Research/Effectiveness Intern</h2>
<h4>University of Texas Permian Basin, Odessa, Texas</h4>
<p class="color-text">
As an intern, I designed and maintained SharePoint hub sites for university departments to ensure seamless resource accessibility.
I developed PowerApps solutions to streamline workflows, utilized SQL to populate dynamic reports, and automated annual data updates.
My contributions include creating self-updating reports for institutional compliance, integrating data visualization techniques, and improving process efficiency through automation.
</p>
</div>
</div>
</div>
</div>
</div>
</div>
<section id="app-store" class="section-mf">
<div class="container">
<h2 class="title-a">My App Store</h2>
<div class="row">
<!-- Example App -->
<div class="col-md-4">
<div class="app-box">
<img src="assets/img/subset-sum-thumbnail.jpg" alt="Subset Sum Solver Thumbnail" class="app-thumbnail">
<h3 id="subset-sum-title">Subset Sum Solver</h3>
<p>
This application solves the Subset Sum Problem with ease! It generates random subsets and uses genetic algorithm to find solution.
</p>
<a href="https://drive.google.com/uc?id=1E7KdQGD9kShR54YUIa7I2ZJ01fSuvGTr&export=download
" class="btn btn-download" download>Download</a>
</div>
</div>
<!-- Add more apps in a similar way -->
</div>
</div>
</section>
<!-- ======= Portfolio Section ======= -->
<section id="project" class="portfolio-mf sect-pt4 route">
<div class="container">
<div class="row">
<div class="col-sm-12">
<div class="title-box text-center">
<h2 class="title-a">Projects</h2>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Comprehensive Data Analytics Project</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/Data-Analytics-Portfolio.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
<a style="color:#c2bf24;"
href="https://colab.research.google.com/drive/1QavG-HbJ-DILiMdH7KC3_3hsGNERGTRN?usp=sharing" target="_blank">
<span><i class="fab fa-google"></i> Ꝏ</span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category"> This project undertakes a thorough analysis of the Titanic disaster to explore the relationship between passenger demographics—specifically class and age—and
survival outcomes. Utilizing SQL for efficient data extraction and management, the project ensures the precise retrieval of key data subsets from the Titanic dataset.
The data is then processed, cleaned, and prepared using Python, with extensive use of Pandas for manipulation and aggregation.
The project employs statistical analysis to examine survival rates across different passenger classes and age groups, revealing that First-Class passengers had nearly three times the survival rate of those in Third Class. This finding underscores the critical role of socioeconomic status in survival chances. The analysis also delves into age distribution, identifying that children in Second Class had a 100% survival rate, compared to 80% in First Class and 40% in Third Class, while seniors, particularly those in lower classes, had the lowest survival rates. Visualization techniques, powered by Matplotlib and Seaborn, effectively highlight these trends and correlations, providing clear, data-driven insights. Additionally, an interactive Tableau dashboard is developed to allow for intuitive exploration of the data, making the complex analysis accessible to a broader audience. The project concludes with recommendations for reducing class disparities in survival rates, improving emergency protocols, and incorporating these insights into the design of future maritime safety measures.
This comprehensive approach not only demonstrates technical proficiency in data analytics but also provides valuable real-world applications for enhancing passenger safety.
</span>
<br>
<div class="text-skills">
<span>Python 3.x, Pandas, Matplotlib, Seaborn,SQL(SQLite, MySQL, or any preferred SQL database), Tableau(for dashboard creation and visualization) </span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">SAD Analytics — A Web Application for Data Analysis and Visualization</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/Data-Visualization-and-Analysis-App.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">SAD Analytics, developed by Sarbagya, Aswin, and Dhimant, is a comprehensive web application designed to streamline the process of data analysis and visualization in a user-friendly environment.
The application allows users to securely upload data files in various formats, perform in-depth data analysis, and generate insightful visualizations.
The platform integrates advanced features such as AI-driven previews that automatically generate initial visualizations, helping users to quickly identify patterns and trends within their data.
With robust user authentication, SAD Analytics ensures data privacy and access control, making it suitable for both individual and collaborative data analysis tasks.
The web application offers a responsive design, ensuring seamless access and usability across different devices and screen sizes.
It supports a wide range of data analysis tasks including summarization, aggregation, and statistical calculations, all of which are powered by a backend built with Node.js and Streamlit.
Users can interact with the generated visualizations, with options to zoom, download, and customize the visual output to suit their analysis needs.
The integration of AI frameworks like Sklearn enhances the data analysis process by providing automated insights and suggestions,
making the platform not only powerful but also intuitive for users at any level of technical expertise.
<br>
<div class="text-skills">
<span>Python, Node.js, Express.js, Streamlit, SQLite3, Sklearn, Matplotlib, Pandas, Plotly, Seaborn</span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">World Cup 2014 Data Analysis with Java and MongoDB</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/A-Case-Study-on-World-Cup-2014-Data-Analysis.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">
This project leverages the power of Java and MongoDB to perform an in-depth analysis of the World Cup 2014 dataset.
The application connects to a MongoDB database, executing complex queries to extract and analyze data about countries, matches, players, and stadiums.
The results, such as a list of World Cup-winning countries, the number of trophies each country has won, and the capitals of countries with large populations, are systematically outputted to a text file for easy review.
Additionally, the project delves into more nuanced queries, like identifying stadiums that hosted high-scoring matches, cities with stadiums named "Estadio," and players over a certain height.
It also provides insights into match statistics within a specific date range and detailed information about captains with notable disciplinary records and goal counts.
By integrating advanced querying techniques with data aggregation and file handling, this project showcases a robust collaboration between Java and MongoDB,
highlighting your ability to manage and analyze large datasets, extract meaningful insights, and present the information in a structured and accessible format.
</span>
<br>
<div class="text-skills">
<span>Java, MongoDB, Data Analysis, Database Querying, Data Aggregation, File Handling</span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Convolutional Neural Network Visualization</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/UTPB-COSC-6389-Project3" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
<a style="color:#c2bf24;"
href="https://github.com/dhimant2299/UTPB-COSC-6389-Project3/blob/main/Screenshot%202024-12-08%20050601.png?raw=true" target="_blank">
<span><i class="fab fa-google"></i> 👓</span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">
This project implements a **Convolutional Neural Network (CNN)** to classify images into two categories:
**Glasses** and **No-Glasses**. It includes a real-time visualization using a Tkinter-based GUI, which:
<ul>
<li>Displays the CNN structure: Input, Convolutional, Pooling, and Fully Connected layers.</li>
<li>Shows real-time training metrics: Loss and Accuracy.</li>
<li>Highlights dynamic weight updates through color-coded connections.</li>
</ul>
The project employs Leaky ReLU activation, He initialization for filters, and gradient clipping to stabilize training.
It demonstrates CNN training from scratch with an interactive and visual approach.
</span>
<br>
<div class="text-skills">
<span>Python 3.x, Tkinter, NumPy, Matplotlib, Scikit-Learn, PIL (Pillow), Convolutional Neural Networks, Visualization</span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Maze-Solver-in-Python-Using-BFS-and-Curses </h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/Maze-Solver-in-Python-Using-BFS-and-Curses.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">This Python application is designed to solve and visualize the solution to a maze using the Breadth-First Search (BFS) algorithm.
The maze is represented as a 2D grid, where the walls are denoted by #, the starting point by O, and the destination by X.
The application leverages the curses library to create a dynamic, text-based interface that visually displays the maze and the pathfinding process as it unfolds. Real-Time Path Visualization: The application visually traces the BFS algorithm’s progress through the maze, providing a clear and interactive demonstration of pathfinding.
Color Coding: The maze is color-coded with walls and open paths in blue, while the discovered path is highlighted in red, making it easy to follow the solution.
Robust Search Logic: The BFS algorithm ensures that the shortest path is always found, regardless of the maze's complexity.
</span>
<br>
<div class="text-skills">
<span>Python, Breadth-First Search (BFS) Algorithm, Data Structures, curses Library, Dynamic Visualization</span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Server-Client-Application-Analysis-and-Monitoring-with-Shared-Libraries
</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/Server-Client-Application-Analysis-and-Monitoring-with-Shared-Libraries.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">This project focuses on the development and analysis of a server-client application that handles client interactions, monitors server activities, and manages shared libraries.
It includes components for syscall tracing, server-side analysis, and secure user authentication using shared libraries.
The application supports different modes of analysis, such as client, server, and redirect server analysis, facilitated by custom scripts for server management and library modification.
The project also implements a shared library for secure password hashing and integrates a robust compilation process using a Makefile.
This setup enables comprehensive testing, development, and maintenance of the server application, ensuring secure and efficient operation.
</span>
<br>
<div class="text-skills">
<span> C Programming, Server-Client Architecture, Syscall Tracing, Shared Libraries, Secure Authentication, Shell Scripting, Makefile, Server Management, Password Hashing</span>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="work-box">
<div class="work-content">
<div class="row">
<div class="col-md-10">
<h2 class="color-text-offwhite">Facebook Phishing Simulation Project</h2>
</div>
<div class="col-md-2">
<div class="github">
<a style="color:#0078ff;"
href="https://github.com/dhimant2299/Phishing-Website-Simulation-.git" target="_blank">
<span><i class="bi bi-github"></i></span>
</a>
<a style="color:#FF0000;"
href="https://youtu.be/Rfre_BPumMY?si=UxFnqUu1DnoDJCPF" target="_blank">
<span><i class="bi bi-youtube"></i></span>
</a>
</div>
</div>
</div>
<div class="row">
<span class="w-category">
<p>NOTE: Please find the project demonstration video attached via YouTube.</p>
<p>This project demonstrates a phishing attack simulation designed to educate users on cybersecurity threats, specifically phishing scams.
The website mimics the Facebook login and registration forms, complete with fields for personal information such as email and password.
When users enter their credentials, they are stored in a Firebase Firestore database, simulating how real attackers might harvest sensitive data.
The attack begins with a phishing email titled "Settlement Information," which lures victims by suggesting they may be eligible for compensation related to a Facebook lawsuit.
The email creates a sense of urgency and directs recipients to the fake login page, where their credentials are captured.
The project structure includes HTML for the form, JavaScript for database interaction, and Firebase for secure data storage.
This simulation, detailed in a video demonstration, serves as a powerful tool for raising awareness about the dangers of phishing and the importance of cybersecurity practices.</p>
<p>NOTE: This project is private on GitHub. If you're interested in accessing the repository, please request access by contacting me directly or by submitting a pull request with a justification for why you need access.</p>
</span>
<br>
<div class="text-skills">
<span>HTML, CSS, JavaScript, Firebase Firestore, Web Security, Phishing Simulation, Cybersecurity Awareness, Social Engineering, Database Integration, Ethical Hacking</span>
</div>
</div>
</div>
</div>
</div>
</div>
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