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osu/README.md

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Hi , I'm Hasan

⚒️ I'm currently a third-year Computer Science and Psychology double major at the University of Alberta ⚒️
🏆 2x Hackathons (Top 10) 🏆
🚩 1 Capture the Flag (CTF) 🚩
🖥️ Passionate about UX/UI design, cybersecurity, cloud computing, and DevOps 🖥️

            Patreon       devpost

github contribution grid snake animation

🚀 Languages and Tools:

python Node.js JavaScript dotnet C C++ C# mysql html5 css3 unity git GitHub terminal bash zsh wing vim emacs vscode pycharm photoshop msword msexcel mspowerpoint msonenote Figma Docker Azure Selinium dotnet TensorFlow arduino powerbi powerbi

My projects

📽️ Projects 🛠️ Tools 📚 Features
🏆FocusBoost Python JavaScript NodeJS Electron Arduino
  • natHACKS fall 2024 submission for rehabilitation track made by a group of 6 students from diverse majors
  • Analyzes EEG brainwave data from BioAmp EXG Pill to detect focus levels.
  • Provides real-time notifications and motivational alerts via an Electron app.
  • Integrates with Chromium to monitor focus while watching YouTube or browsing.
  • Uses audio-visual alerts and motivational content (e.g., quotes from David Goggins) to encourage productivity.
  • Implements customizable focus tracking thresholds and distraction alerts for tasks like studying or working.
  • 🌐 Check out the project on Devpost.
AI Diesease Detection Python Tensorflow Jupyter Scikit-learn Matplotlib Numpy
  • AI-Powered Disease Detection: This project leverages Convolutional Neural Networks (CNNs) for disease detection, focusing on pneumonia in chest X-rays, providing a framework for accurate and early diagnostics.
  • Flexible and Optimized Framework: Includes customization options (data augmentation, hyperparameters, transfer learning) and supports OpenVINO integration for faster inference on Intel hardware.
  • Comprehensive Performance Metrics: Evaluates model performance with accuracy, precision, recall, and AUC, with sample results available for visual inspection and benchmarking.
Spotify Data Analysis MYSQL Python SQLite Matplotlib
  • Developed an analytical pipeline using Python and SQLite to analyze and visualize Spotify’s top 50 songs of 2021.
  • Implemented SQL queries to extract insights, including the top 10 longest songs and average danceability by artist.
  • Generated bar and pie charts with Matplotlib for data visualization, automating the process through a Python script.
Beartracks - Barebones Python Streamlit
  • Developed a student timetable application to manage course enrollments, drops, and display current timetables.
  • Integrated user enrollment functionality, allowing new students to be added with admin authentication.
  • Used Streamlit to create a user-friendly GUI for displaying application outputs.
🏆QNNGPD Python TensorFlow PYTORCH Scikit-Learn Pandas
  • This project was made for intel fall 2024 hackathon
  • Developed Quantum Neural Networks (QNNs) for analyzing genomic data in personalized medicine to predict disease risks and recommend treatments.
  • Implemented a hybrid model integrating classical neural networks (CNNs) and QNNs to handle high-dimensional genomic patterns.
  • Utilized Intel Quantum Simulator, OpenVINO, and Intel DevCloud for model training, testing, and edge inference deployment.
File Automation Python Pandas
  • Automated File and Data Handling: Automates file extraction, data processing, and Excel manipulations, using libraries like openpyxl, pandas, and win32com (Windows-only) for reconciliation tasks.
  • Excel Operations: Formats cells, creates tables, and applies formulas within Excel, leveraging openpyxl and win32com for smooth workflow automation.
  • Cross-Platform Note: Designed for Windows, but can be adapted for other platforms by replacing win32com with cross-compatible libraries for Excel handling.
Maze Pathfinder JavaScript NodeJS
  • A solvable maze is generated using Kruskal’s algorithm.
  • The maze is solved using Dijkstra and A* algorithms.
  • Animated pathfinding visualizes the solution path.
  • Allows generation of different paths with a button click.
Quiz C# .NET Visual Studio SendGrid
  • A Windows Forms-based quiz application designed with a user-friendly and visually appealing interface.
  • Includes a registration form for users to input their details before starting the quiz.
  • Features a dynamic timer and progress bar for each question to enhance the quiz-taking experience.
  • Customizable background images for both the quiz and registration forms (e.g., joes.png, apd.jpg).
  • Automated email functionality using SendGrid to deliver quiz results directly to the participant's email.
  • 📽️ Check out the demo of the application in action.
  • Future plans include integrating AI to dynamically generate quiz questions for an enhanced experience.

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