My Projects

Personal Projects

Traveling Salesman Problem

    Made with:

In this project, I implemented two solutions for the classic Traveling Salesman Problem (TSP): a brute-force permutation approach and an approximation using Minimum Spanning Trees and Depth-First Traversal. The program visualizes how each algorithm finds a path through cities represented in a Euclidean plane. It gave me hands-on experience with graph theory, algorithm efficiency, and Java GUI visualization.

Academic Advising System

    Made with:

This project models a course advising system using Directed Acyclic Graphs and topological sorting. I built a custom priority queue using a min-heap to ensure the system accounts for course preferences when sorting. It taught me how to manage graph dependencies, implement topological sorting, and integrate user-driven priorities in algorithmic logic.

Task Manager System

    Made with:

Built in C, the HIY Task Manager simulates a Unix shell where users can add, run, suspend, resume, and kill background/foreground tasks. It supports features like input/output redirection and piping between processes. This project gave me hands-on experience with Unix signals, process forking, inter-process communication, and low-level systems programming.

Hackathon Projects

MaeAway Project Screenshot 1
MaeAway Project Screenshot 2

MaeAway

    Made with:

MaeAway helps families find affordable homes based on their budget, needs, and safety by showing properties in safer areas using risk data.

VisionLink Project Screenshot 1
VisionLink Project Screenshot 2

VisionLink

    Made with:

VisionLink helps visually impaired people by using a camera on glasses. The camera detects objects and obstacles and gives feedback to the user via audio and haptic vibrations. It also uses Google API to help users to their walking destinations, by guiding them with directions and what is in front of them.

BabyBlues Project Screenshot 1
BabyBlues Project Screenshot 2

BabyBlues

    Made with:

Baby Blues uses Hume's API to determine the emotional state of a mother based on audio cues. Each emotion is ranked using their sentiment values from both text and tone of speech. Using the mood of a mother, Baby Blues create a suitable playlist from the songs on Spotify.

HokieLot Project Screenshot 1
HokieLot Project Screenshot 2

HokieLot

    Made with:

HokieLot is a web application that delivers real-time updates on available parking spots in the Perry Street Lot 3 parking lot on campus. Updated at five-minute intervals, the platform provides students with immediate, accurate information on parking availability across campus. There is a web cam pointed towards the lot and takes pictures at each interval. Once taken, the picture gets processed giving a confidence interval for each object you are trying to find similarity for. In this case, if the program detects a car, it will increase the count. The count is then pushed onto a webpage so that users will be able to get information about the parking lot. The program works for both real time use and for a multitude of preset images.

Work Experience

2024 - Present

Junior Software Developer

DealerOn

Contributed to the enhancement of Ted Britt Ford’s website by assisting in the implementation of the 360° vehicle view feature and AI-powered chatbot integration, improving user interactivity and engagement.

HTML5 CSS3 (with Flexbox/Grid) JavaScript (ES6+) jQuery Bootstrap Jest
May 2022 - September 2023

Project Analyst Intern

Keller Williams Metro Center

Automated weekly sales report generation using Python (Pandas library) to track 50+ new agents’ progress (appointments booked, closed deals), cutting manual data compilation time by 5 hours/week.

Python Pandas Excel

Technical Skills

My Education

My Desk
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Contact Me

Email

khamidjanovsaid2@gmail.com

GitHub

SaidSaidd

LinkedIn

SaidKhamidjanov

Resume

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