Hasan Khan osu

Welcome!

Hi , I'm Hasan

⚒️ I'm currently a third-year Computer Science student at the University of Alberta ⚒️

Check out my LinkedIn:
Email:	hkhan7@ualberta.ca
Portfolio/Website	https://osu.github.io/portfolio

🚀 Languages and Tools:

My projects

📽️ Projects	🛠️ Tools	📚 Features
AI Diesease Detection		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		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		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		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		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		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.