Carbonada-front

Svelte-based frontend for our OpenAI Hackathon project carbonada.

Quick Start

After cloning the project, install dependencies:

npm install
# or
pnpm install
# or
yarn

Then start the development server:

npm run dev

# or start the server and open the app in a new browser tab
npm run dev -- --open

Building

To create a production version of your app:

npm run build

You can preview the production build with npm run preview.

To deploy your app, you may need to install an adapter for your target environment.

Game Design: Carbonada - An Educational Carbon Footprint Game

Inspired by the traditional dish carbonada, we've created an engaging educational game where players add ingredients while managing a carbon footprint budget.

Gameplay

• Each game sets a carbon footprint limit for the carbonada dish.
• Players take turns adding ingredients to the dish. These ingredients can be anything the player can imagine and write down.
• The system calculates the carbon footprint of each ingredient based on our carbon footprint estimation model.
• The goal is to avoid exceeding the carbon footprint limit. The player who adds an ingredient that causes the total carbon footprint to surpass the limit loses the game.

LLM as a Game Judge

• We implemented an AI agent to supervise the game in real-time.
• This agent detects strategies to "cheat" the system, such as multiplying concepts (e.g., "two apples").
• The agent evaluates the validity and originality of each move, blocking unfair or repetitive ones.
• In case of a block, the system asks the player to propose a new concept, keeping the game challenging and educational.

This creates a dynamic, challenging, and educational experience that makes learning about carbon footprints fun!