Welcome to my programming project archive! I'm continuing to sharpen my programming skills with many languages.

All projects are non-commercial unless labeled otherwise. Some project code has been omitted per my institution's policy on sharing code.

A collection of my favorite programming projects. Click on a project to learn more.

This was a homework assignment I completed for RPI's Principles of Software course (CSCI 2600). The goal was to use a previously implemented Graph ADT (abstract data type) to store location data for buildings on the RPI campus. Using Dijkstra's algorithm, the program is able to calculate the shortest path between any two buildings on the campus. The program accepts the names of buildings or building ID numbers as shown on the map below. The program supports the following input commands: "b" will list all buildings, "r" will find the path between any two buildings, and "q" will quit the program. When implementing the functions for this program, I had to adhere to the Model-View-Control design pattern because modular design, writing code for reuse, and design patterns were major focus points for this assignment. I also wrote several unit tests for each of this program's functions using JUnit 4.

RPI Campus Map (cropped)

List Buildings + IDs Feature

Some Pathfinding Examples

< View assignment HERE. >

I enjoyed this assignment because it resulted in a helpful tool, a valuable piece of software that could be beneficial for all RPI students. It was also a great experience learning how to write correct code which is logically organized, readable, and modular.

This was a personal project with the goal being to learn how to use the Spotify API and to create a customizable alternative to Spotify's auto-generated playlists like Discovery Weekly and the Daily Mixes. Given a list of genres and artists of the user's choosing, this program will populate a playlist with Spotify's recommedation system. The program will add a song only if: (1) its album cover is greyscale, and (2) if it has the appropriate energy level based on the time of day. Spotify generates an "energy" level for every song in its catalog, and this program will add songs with lower "energy" in the morning and songs with higher "energy" in the afternoon/at night. "Energy" represents "a perceptual measure of intensity and activity", according to Spotify's documentation. If the program detects that three iterations have passed without having found any songs that meet this criteria, the program will choose different artists and genres from the given lists for Spotify's recommedation function and raise the required "energy" value cutoffs. I used the Spotipy Python library to access the functions of the Spotify API.

Terminal Output

Spotify Playlist

< View source HERE. >

I used the Pillow Python library to determine if an album cover is grayscale. After a song's album cover is downloaded and reduced to a lower resolution, the detect_color_image function below analyzes the color bands of the album cover to determine if it is black and white, grayscale, or color. The code for some of this analysis is from Stack Exchange. See the code below for acknowledgements.

detect_color_image Function

Below is the vibe_check function that determines the "energy" values of tracks with Spotify's API's audio features function.

vibe_check Function

This was a homework assignment I completed for RPI's Operating Systems course (CSCI 4210). The goal was to implement a single-process multi-threaded TCP server for the Wordle word game. (In case you've never played Wordle, you can play it HERE.) Using a simple client program, a user can connect to the server with a port number. The user will then have 6 tries to guess a hidden word. Upon receiving a guess, the server will return an eight-byte packet to the client depending on whether the user guessed the correct word, guessed an incorrect word, or guessed an invalid word (i.e. a word that doesn't exist). And since the server uses POSIX threads, it is able to handle mutiple client connections and Wordle games in parallel. The server also keeps track of the total number of valid guesses, wins, and losses via global variables; I had to use mutex locks for thread synchronization, since each thread has to update these global variables during gameplay. In addition to learning about thread creation and functions like socket(), bind(), and listen() for network setup, I also had to write my own Wordle algorithm. I used hashtables to compare a user's guess with the hidden word. See the screenshots or assignment PDF below for more details about how these comparisons are displayed.

Client Output

Server Output

< View assignment HERE. >

I liked this assignment because it was the first time I had worked with low-level network functions. I also really liked the concept of multi-threaded computing and seeing the obvious benefits it granted when implemented into this project.

Welcome to my 3D design portfolio! I specialize in hard-surface modeling, architecture visualization, and photo-realistic image rendering. I work almost exclusively in Blender.

All projects are non-commercial unless labeled otherwise/watermarked. All projects were completed exclusively in Blender unless otherwise specified. Click on any gallery image to view its project details and acknowledgements, if applicable.

A gallery for my favorite 3D design projects. Click on a gallery to expand/close it.

2021

More Details

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"Darth Croft"

2023

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"Crappy Robot"

2023

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"Primitives"

2023

Foliage Models - Botaniq Blender Addon
Background Image - Ashley Adamant

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"Kara"

2023

More Details

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"Guitar Ad"

2023

More Details

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"Darth Croft"

2023

More Details

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Generator

for Triumph Modular | 2023

Commercial Work - More Details

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Topdown

for Triumph Modular | 2023

Commercial Work - More Details

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Air Purifier

for Triumph Modular | 2023

Commercial Work - More Details

"Guitar"

2022

Project Acknowledgements

Plant Models - Botaniq Blender Addon
Some textures are from Poliigon.com

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"Find Home"

2022

Project Acknowledgements

Human Model - Humano3D
Rain Generator - Baga Rain Generator Blender Addon
Some textures are from Textures.com and Poliigon.com

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Coffee Maker

for Trimph Modular | 2022

Commercial Work - More Details

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Exterior

for Trimph Modular | 2022

Commercial Work - More Details

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"Window"

2021

"RPI Bridge"

2021

Project Acknowledgements

2019

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"Lighter"

2018

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"Fade"

2018

Project Acknowledgements

Some textures are from Textures.com and Poliigon.com

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"Light"

2021

Project Acknowledgements

Some models are from the BlenderKit Blender Addon
Some textures are from Textures.com and Poliigon.com

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"Zoom 2.0"

2020

Project Acknowledgements

Hand Model - Sourced from Sketchfab
Some textures are from Textures.com and Poliigon.com

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"House"

2019

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"Dash"

2019

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"Classic"

2021

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"Livingroom"

2018

Project Acknowledgements

Some textures are from Poliigon.com

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"Buoy"

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"Air Balloon"

2021

Project Acknowledgements

Human Model - Generated with MakeHuman
Some textures are from Textures.com

Selected Project Details.

Project Acknowledgements

Lightsaber Model - art_em
Darth Vader Model - Konstantin Koretskyi
Lara Croft Model - Tomb Raider
Base Walk Cycle Animation - Mixamo
Final Animation Song - "Test Pilot" by Stilz + The Encounter

Darth Croft was a week-long project I completed for the 3D Art with Blender course at RPI (GSAS 2961). The project objective was to animate a hybrid model. I chose to combine a 3D model of Darth Vader with one of Lara Croft from the Tomb Raider series (hence the title, "Darth Croft"). Please note that I did NOT model Lara Croft, Darth Vader, nor the lightsaber because modeling was not the focus of this project. Working with these pre-made models allowed me to spend more time experimenting with animation and cinematic design in Blender. Gaining more familiarity with Blender's graph, action, and NLA editors allowed me to create more complex animations than I had ever before. And when choosing camera angles and material colors, I was careful to borrow design elements from Star Wars while also creating an original presentation for this new character.

Final Animation

Overall, I'm happy with how this project turned out, especially considering the time constraint. I had a ton of fun editing the final animation, syncing sound effects and telling a story. There are a number of things I would change/improve in a second iteration of this project, but the value of it stems more from the skills I honed rather than the final result. I learned how to blend animations in the NLA editor, store rig poses in the pose library, use more constraint modifiers, and achieve better looking renders in the Eevee render engine, just to list a few.

Blender Workspace

Video Editing Workspace

Project Acknowledgements

Human Model - Generated with MakeHuman
Plant Models - Botaniq Blender Addon
Some textures are from Textures.com and Poliigon.com

Window is a personal project I completed to improve my modeling and scene design skills. With an emphasis on photorealism, I modeled nearly every object in this scene. One lesson I learned is how difficult and time-consuming filling a room with objects can be to do by hand. What objects do you need to model? Where and how should these models be placed? How many objects do you need to make the scene feel less "empty"? This was also the first time I posed a character and created hair for a scene.

Clay Render

An Early Render (that I don't like)

Another point of difficulty with this project was composition. I learned another valuable lesson that is to frame your scene before you start modeling a ton of detailed objects. After I had finished filling the scene with these meticulously detailed objects, I wanted to make sure they could all be seen in the final render. However, I wasn't able to do this with a composition that I liked. The final composition actually doesn't show half the objects I made for the scene originally. In the end, I ended up with a result I liked, and I think I did a decent job with the photorealism. Eventually, I created another version of this scene, shown below.

Another Version

Work.

"Eve"

Project Acknowledgements

"Amplifier"

"Window"

"Darth Croft"

"Light"

Project Acknowledgements

"Portals"

Project Acknowledgements

"RPI Bridge"

Project Acknowledgements

"Guitar"

Project Acknowledgements

Generator

"Soda Bottle"

"Crappy Robot"

"Primitives"

"Mountaintop"

Project Acknowledgements

"Portals"

Project Acknowledgements

"Eve"

Project Acknowledgements

"Kara"

"Guitar Ad"

"Darth Croft"

Generator

Topdown

Air Purifier

"Supercharger"

Project Acknowledgements

"Railcar"

Project Acknowledgements

"Guitar"

Project Acknowledgements

"Find Home"

Project Acknowledgements

Coffee Maker

Exterior

"Window"

"Spill"

"Vision"

"Two Chairs"

"Tree"

"Sound"

"Station"

Project Acknowledgements

"Sand"

"Soda Can"

"Nature"

Project Acknowledgements

"Shards"

"RPI Bridge"

Project Acknowledgements

"Amplifier"

"Rush Hour"

Project Acknowledgements

"Rainy"

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"Phone Booth"

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"Plant Protection"

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"New"

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"Modern Architecture"

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"Modern Apartment"

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"Mannequin"

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"Lookout"

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"Love"

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"Lost"

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"Lighthouse"

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