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title: Cloudzy AI Photo Management
emoji: 📸
colorFrom: blue
colorTo: purple
sdk: docker
pinned: true
Cloudzy AI Photo Management Cloudzy is a cloud-based photo management service with AI-powered analysis and semantic search. It allows users to upload photos, automatically analyzes them using AI models, and provides intelligent features such as semantic search and creative AI-generated insights.
🚀 Objective Build a photo management service with the following requirements:
Photo Upload and Storage
POST /upload: Receive a photo, store it, and generate a unique ID.
GET /photo/:id: Return metadata including upload date, file name, and AI-generated tags and captions.
AI-Powered Analysis
Each uploaded photo must use a vision model (local or API-based) to produce:
Tags (at least 5 relevant)
Caption (short descriptive sentence)
Embedding vector (for semantic search)
Semantic Search
GET /search?q=... : Return photos ranked by semantic similarity using embeddings.
Mandatory AI-Powered Smart Feature
Include at least one creative AI-powered feature, e.g.:
Album generation
Daily summaries
Emotion/facial recognition
AI Usage Report
Document where and how AI was used
Provide prompts and model inputs
Explain how model outputs were refined
📂 Example Workflow Upload a photo via /upload.
The system generates:
Tags and captions using AI
Embeddings for semantic search
Retrieve photo metadata via /photo/:id.
Search for photos with /search?q= to find semantically similar images.
Enjoy AI-powered smart features like automatic album generation or summaries.
🤖 AI Usage This project integrates AI in multiple stages:
Tagging and Captioning: Vision model automatically labels photos and generates descriptive captions.
Embedding Generation: Produces vector representations for semantic search.
Creative AI Features: Enhances user experience, e.g., grouping similar photos into albums or summarizing daily uploads.
📌 Notes The service is designed for mandatory AI usage—all main features leverage AI models.
This README uses Hugging Face Spaces front matter to define metadata, including color, emoji, and SDK type.