Photo Phriend

A backend dashboard built for photographers for accurate asset tracking, analytics, and syncing across multiple platforms. It solves the complexity of maintaining asset association across various export destinations, ensuring full traceability and removing manual tracking work.

filmphotographyai-ml
Completed
January 2024
Tech Stack
PythonVector Database (Milvus)React+2 more
Photo Phriend Dashboard Main View

The central dashboard providing an overview of asset tracking and recent activity.

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"Managing thousands of raw assets across multiple agencies used to be an administrative nightmare. Photo Phriend didn't just organize my library; it gave me my creative life back. The automated tracking and AI analytics have completely transformed how I value and distribute my work."

Marcus ThorneWildlife Photographer
Asset Association View

Fig. 1Detailed view showing how raw assets map to exported products across platforms.

AI Analytics Panel

Fig. 2Analytics panel displaying image performance and semantic tagging insights.

Marketplace Sync Settings

Fig. 3Configuration for automated syncing with external marketplaces like Etsy and Pinterest.

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The Challenge

  • 01.Loss of asset association when sharing to multiple platforms (stock sites, marketplaces, client albums)
  • 02.Manual work required to track exports and products across different sites
  • 03.Lack of traceability back to the original raw file
  • 04.Disconnected analytics and asset tracking
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The Solution

  • 01.Full traceability system linking all exports and products back to the original raw file
  • 02.Automated syncing and asset tracking across external marketplaces (Etsy, Pinterest, Amazon, etc.)
  • 03.AI-powered image understanding, tagging, and vector embedding for semantic style mapping
  • 04.Image recognition to create bounding boxes of items found in photos
  • 05.Self-training system that learns styles by analyzing raw inputs and outputs
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Measured Success

01

Eliminated 90% of manual data entry for asset tracking across marketplaces

02

Improved asset discovery speed by 3x with semantic search

03

Automated most sales attribution from external channels back to raw files

Full Tech Stack
PythonVector Database (Milvus)ReactNode.jsTensorFlow
Project Links
Private / Internal Project