Avanom — Geospatial Memory Platform

Avanom — AI-Powered Geospatial Memory Platform

Role: Lead Product Designer & Founder
Category: Location-Based Social Platform / AI-Powered Travel & Heritage Tool
Format: Cloud-Based SaaS (Prototype Stage)

Web site: Avanom.com

Overview

Avanom is an AI-powered geospatial memory platform that turns real-world places into permanent storytelling anchors. Users can pin photos, videos, or voice recordings to specific coordinates — creating a global, shared layer of human experiences. Future visitors standing at the same spot can “unlock” the stories left behind.

The system uses AI to turn raw memories into structured, shareable narratives.

The Problem

Travel memories and personal histories are usually trapped in a private camera roll — disconnected from the places where they happened. Valuable local stories, micro-histories, and emotional moments disappear or remain hidden to future visitors.

There is no simple way to leave a “digital time capsule” at a real location.

The Solution

I designed Avanom, a map-centric platform where users can leave permanent “Footage” at any geographic coordinate:

Photos
Short videos
Voice recordings
AI-generated journal entries

Each memory becomes part of a collaborative, place-based archive — turning coordinates into a living cultural record.

AI-Powered Features

To lower friction and enhance storytelling, Avanom integrates AI into the core creation flow:

AI Narrative Synthesis
Users can record a quick 20–30s voice note. The AI automatically transcribes, cleans up, and turns it into a polished journal entry.
Contextual Discovery
AI recommends “Memory Trails” based on user interests (e.g., Hidden Food Spots, WWII Landmarks, Romantic Spots).
Smart Metadata Tagging
AI identifies time of day, weather, landmarks, and image content — auto-labeling memories without manual input.

These features make storytelling effortless and discovery meaningful.

Design Challenges & Solutions

1. Map Clutter & Scaling

Challenge: A map with hundreds of pins becomes unusable at distance.
Solution: Implemented dynamic cluster groups that expand as the user zooms in.

Distant view → “50+ Stories”
Mid zoom → regional clusters
Close zoom → individual pins

This preserves clarity while signaling density.

2. Visual Encoding for Quick Scanning

I designed a dual-encoding icon system:

By media type:
• Photo 📷 • Video ▶️ • Audio 🔊
By recency/popularity:
Bright for recent or featured stories; faded for older ones.

This reduces cognitive load and helps users visually filter without reading.

3. Overlapping Pins (High-Density Sites)

Problem: Multiple memories at the exact same coordinate (e.g., Golden Gate Bridge).
Solution: A “spider-leg” expansion that fans out overlapping memories or reveals a side-drawer list.

This improves tap accuracy on mobile devices.

Outcome

Although still in prototype stage, Avanom demonstrates:

A scalable geospatial UX system
Real AI integration that reduces friction
Strong interaction design around maps, clustering, and content layers
A compelling use of AI for storytelling, travel, and cultural heritage

Early testers described Avanom as “a digital time capsule for the world.”

Tools & Skills

Tools: Figma, Claude, Google Maps API, AI APIs (Gemini / Nano Banana), Cloud Storage
Skills: AI UX Design, Map Interaction Systems, Feature Architecture, Prototyping, Founder-Led Product Design

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