Splash Screen
The Image Gallery
The Home Page
AI Suggestion Feature

Melbourne Mood: Art Discovery Through Aesthetics

One-Liner

Discover Melbourne’s art, cultural events, and creative spaces tailored to your vibe through AI-powered moodboards.

Project Description

Melbourne is bursting with galleries, street art, and creative spaces...but young audiences, especially Gen Z, struggle to find places that match their aesthetic and mood. Melbourne Mood lets users create moodboards representing their current vibe, aesthetic, or emotional state. Our AI analyzes the boards and recommends personalized experiences, from gallery exhibitions and workshops to street art routes and local creative spaces, bridging the gap between online self-expression and real-world discovery.

Problem

Melbourne’s cultural scene is rich but fragmented.
Current discovery platforms are text-heavy and impersonal.
Gen Z prioritizes experiences, visual-first content, and aesthetic alignment, but no tool helps them explore Melbourne’s art in a way that matches their vibe.

Solution

Visual-first interface: Users pin images to moodboards (colors, textures, styles).
AI-powered matching: Recognizes visual elements, emotional undertones, and artistic styles.
Melbourne-specific recommendations: Suggests galleries, events, creative spaces, workshops, street art walks, and artists aligned with the user’s mood.
Community & sharing: Share boards, discover “vibe twins,” and see popular aesthetic-based experiences.
Real-time & weather-responsive: Instant suggestions based on mood, weather, and local events.

How We Built It

Frontend: Figma prototype for UI/UX design, demonstrating visual-first boards and interactive feeds.
AI/Machine Learning (Prototype Concept): Image analysis using color palettes, composition, textures, and style recognition (TensorFlow / OpenAI API integration concept).
Database & Backend (Prototype Concept): Melbourne cultural venues tagged with visual/emotional characteristics (MongoDB/PostgreSQL).
Real-time Matching: Demonstrated via interactive mood selection buttons and board previews.
Sharing & Community Features: Prototype screens showing moodboard sharing, anonymous discovery feeds, and “vibe twin” connections.

Tech Stack (Prototype Stage)

Figma (UI/UX design)
OpenAI API / TensorFlow (image analysis concept)
MongoDB / Firebase (data storage & venue tagging concept)
Webflow / React (front-end demonstration concept)

Challenges We Solved

Translating online visual expression into actionable real-world experiences.
Connecting users with aesthetic-aligned local events and artists.
Designing a social & visual-first interface that resonates with Gen Z.

Key Features

Moodboard creation and curation
Personalized Melbourne art recommendations
Vibe-aligned galleries, workshops, and street art routes
Community sharing and discovery of “vibe twins”
Real-time, weather-responsive suggestions

Impact / Potential

Bridges the digital-to-IRL gap for art discovery.
Helps local artists, galleries, and creative spaces reach Gen Z audiences.
Supports aesthetic-first, experience-driven exploration, increasing engagement and attendance.