Live demo: https://ocean-badges.vercel.app

Visual personality badges based on the Big Five (OCEAN) model.

This project is a fork and extension of the original bigfive-web project, focused on transforming Big Five test results into clean, shareable visual artifacts (SVG / PNG badges).

• What is this?
• Why badges?
• Social & research context
• Privacy & data handling
• Ethical note (intended use)
• Technical overview
• Who might find this useful?
• AI agents & human interaction (future direction)
• How to run locally
• Origin & attribution
• License

OCEAN Badges is a small web service that generates visual personality badges based on Big Five test results.

The goal is not diagnosis or evaluation, but visual reflection — a compact, human-readable way to express personality tendencies and start conversations.

Badges are designed to be:

• visually neutral
• non-judgmental
• easy to share
• easy to embed

Text-heavy personality reports are hard to compare, discuss, or reference in social contexts.

A visual badge:

• lowers the barrier to communication
• helps people explain themselves without oversharing
• acts as a conversation interface, not a label

This project can be seen as a social visualization experiment.

One possible future direction is the use of lightweight personality signals in hybrid systems, where humans and AI agents interact as peers.

In such systems, representation matters more than raw data.

This project is designed with privacy by default:

• No user accounts
• No personal identification
• No linkage between badges and real identities
• No tracking or profiling
• Badge IDs are random and anonymous

Big Five results are probabilistic and context-dependent.

Badges generated by this project are intended for:

• personal reflection
• education
• communication

They should not be used as the sole basis for hiring, evaluation, segregation, or discrimination.

This is a statement of intent, not a legal restriction.

• Next.js (App Router)
• SVG-first rendering (shareable SVG + PNG)
• Redis (Upstash-compatible)
• No authentication required

• Teams (especially remote ones) — quick communication context
• Gamification enthusiasts — personality as character stats
• UX / interface researchers — compact representation of complex data

In future hybrid systems, where humans and AI agents interact as peers, lightweight and voluntary personality signals may serve as interaction context rather than identity or evaluation.

Such metadata is not meant to describe a person exhaustively, but to reduce ambiguity in communication, preference alignment, and cooperative behavior between heterogeneous agents.

OCEAN Badges explore one possible representation: compact, visual, non-authoritative, and explicitly non-diagnostic.

⚠️ Important
Docker Compose is currently not the recommended way to run this project locally. The setup relies on an external Redis (e.g. Upstash) and is best run directly with Node.js.

• Node.js 18+
• pnpm
• Redis (Upstash or local)

cd web
pnpm install
pnpm dev

Create a .env.local file in web/:

UPSTASH_REDIS_REST_URL=your_redis_url
UPSTASH_REDIS_REST_TOKEN=your_redis_token

Then open:

http://localhost:3000

Docker support exists but is currently experimental and may require adjustments depending on Redis setup. It is not guaranteed to work out of the box.

This project is a fork of:

• bigfive-web — https://github.com/rubynor/bigfive-web

Based on:

• IPIP-NEO-PI: https://github.com/kholia/IPIP-NEO-PI
• Item/test data from: http://ipip.ori.org

This fork focuses specifically on visualization and sharing, which was not the original goal of the upstream project.

MIT — see LICENSE