You are expected to create more powerful model definition and better defined parametric designs, with the use of any combination of the three advanced methods: (1) algorithms, especially Genetic Algorithm; (2) scripting; and/or (3) Generative AI that can expend the capability of existing tools and help you create your own parametric modeling method. Use of Generative AI is highly encouraged.

This project can be built based on Project 1, with improvement of existing models, and new design, data, content, and/or methods added. You can also choose to build this project on another building design/model of your own, instead of Project 1.

Your tasks include:

1. Homework and Tutorials  (15 pts)

Complete all the exercises assigned for the second phase. Follow the deadlines and submission procedures for each exercise. The completeness of the tutorials and on time submission will count toward part of the final grade of this project.

2. Parametric Modeling through Algorithms, Scripting, and/or Generative AI: develop your parametric modeling definition using the techniques we have studied in the course. You may improve your Project 1 to implement new ideas. (45 pts.)

Examples are:

2.1. Using Genetic Algorithm to optimize your design.

2.2. Using external data (e.g. through Excel) to drive your model.

2.3. Using scripting to implement conditional statements (IF Then) for different design options.

2.4. Using scripting to loop and create patterns.

2.5. Use scripting and/or other tools to link between parametric geometry (in Rhino/Grasshopper) and BIM (in Revit).

2.6. Using Parametric Design Patterns to add components to your models.

2.7. Using AI to render your parametric modeling result into different design options.

2.8. Using AI to help you learn and use a parametric modeling function or method and document the learning process.

2.9. Using a Grasshopper plugin of ChatGPT to enhance the modeling process.

2.10. Using OpenAI API to create a Grasshopper plugin for using AI in the modeling process.

2.11. Other applications (think creatively).

3. Document your project (20 pts). Save screenshots of the models and data display, including views, and running process, etc. Publish the documentation on your blog.

In addition , you are expected to create a movie (up to 4 minutes in length) by by capturing your computer screen that demonstrates your models, parametric design, AI, and user interaction with your voiceover as narrative. You can use Zoom recording of shared screen and other software to make and edit the movie. Upload the movie to your Blog (making sure the video quality is high).

Suggested resolution: 1920x1080 pixels. Suggested format: MP4. Clear images and sound are expected.

Here's instruction about posting videos on Blogger

4. Final presentation (10 pts)

Please make sure your movie on your blog is ready to be played before we start the presentation.

Please also submit your movie with other files to Canvas.

5. Submission

Project submission includes the following four items.

5.1 Application submission to canvas.tamu.edu

5.2. Submission to the Web

Create a web blog page containing your Final Project description, screenshots, presentation movie, and links to other pages. Your name and "ARCH655 Final Project" should appear on your blog page. Check the following page and click your project2 thumbnail to confirm that the link is pointing to your blog.

http://bim-sim.org/ARCH655/students.html

5.3 Submission of your project thumbnail to Canvas: https://canvas.tamu.edu

Create a 160x120 pixel thumbnail image based on your exterior rendering. Save it as Project2_YourFirstname_YourLastname.jpg, and upload it to https://canvas.tamu.edu

The thumbnail will appear on the following page after it is uploaded by the instructor:
http://bim-sim.org/ARCH655/students.html

Check your web page and links from
http://bim-sim.org/ARCH655/students.html

Make sure everything works by the due time. (Thumbnails will be displayed before presentation.)

Understand and experience advanced, algorithm- and scripting-based, and AI-enhanced parametric modeling methods.

Your work will be judged on its technical quality and on its visual content.