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Final Project Submission

Proposal due: Tuesday, 7/14 Demo Day: Wednesday, 7/22 (last class) Final submission due: Friday, 7/24

What to Build

After completing three mini projects, you have the skills to build something of your own. The final project is an independent web application that you propose, build, and deploy.

Build something you would actually use, or something someone you know would use.

Requirements

  • A functional web application (not just static content)
  • Meaningful interactivity using JavaScript
  • Deployed with a live URL (GitHub Pages or Vercel)
  • Public GitHub repository with clear commit history

Deliverables

1. Proposal (due Tuesday, 7/14)

Commit a PROPOSAL.md to your final project repo with:

  • What I'm building: one sentence
  • Who it's for or why I chose this: personal motivation or real user need
  • Core features: 3 to 5 things it will do
  • What I don't know yet: honest list of things you will need to figure out

Optional but recommended: Paste your proposal into AI and ask it to interview you. "Here is my project proposal. Act as a product manager. Ask me clarifying questions one at a time to help turn this into a detailed PRD." In the industry, this is called a Product Requirements Document (PRD). Save the result as PRD.md in your project repo. When you use AI to build features, point it to this file: "Read PRD.md and implement the first feature."

2. Demo Day presentation (Wednesday, 7/22)

A 2-minute live walkthrough of your deployed project, followed by instructor Q&A. Open your live URL in a browser and show what it does.

3. Final submission (due Friday, 7/24)

Create a new, separate public GitHub repo for this project (do NOT put it inside your oim3690 repo or your username.github.io repo). Deploy on GitHub Pages (your live URL will be username.github.io/repo-name). Include:

  • All source code (HTML, CSS, JS)
  • PROPOSAL.md with all sections filled in
  • README.md that answers:
    • What does this project do?
    • How do I use it? (link to live site)
  • Deployed and working at your live URL
  • Weekly log entries on your final-project work, including an AI collaboration note: key prompts you used and what you changed after reading AI's output

How It's Evaluated

The final project is 30% of your course grade. It is evaluated on:

  • Working software: the deployed URL loads and the core feature works
  • Evidence of iteration: multiple commits across multiple days with descriptive messages
  • Code understanding: you can explain any part of your code if asked
  • Documentation: README answers what it does and how to use it; your log shows what you learned and how you worked with AI

We do not grade on visual design, code elegance, or feature count.

Tips

  • Deploy early. Get your repo and live URL working before writing features.
  • If you are stuck on what to build, look back at your pre-course survey answer.

Due Friday, 7/24

Last updated: Tuesday, 6/23/2026