Building an AI-Powered Smart Gallery with Django & Face Recognition (Like Google Photos)

Описание: In this video, I demonstrate Ai SmartGallery—a powerful, self-hosted Digital Asset Management system I built using Python and Django.
Unlike standard photo galleries, this app uses high-end Computer Vision (InsightFace) to automatically detect faces, cluster them into people groups (using DBSCAN), and even allows for "Visual Search" (searching by selfie).

📄 Read the Full Technical Blog & Code:

👉 https://projectworlds.com/building-an...

🚀 Key Features Demoed:

✅ Face Clustering: Automatically groups thousands of photos by person.
✅ Visual Search: Upload a photo of a friend to find them instantly in your library.
✅ Smart Events: Auto-groups photos into timelines based on date/time gaps.
✅ AI Collages: Intelligently crops photos around faces to create perfect layouts.
✅ Privacy First: 100% self-hosted logic. No data sent to Big Tech.

🛠️ Tech Stack:

Backend: Django 5.0 (Python)
AI Models: InsightFace (Buffalo_L), ONNX Runtime
Logic: OpenCV, NumPy, Scikit-Learn (DBSCAN)
UI: HTML5, CSS3 (Glassmorphism), JavaScript

💼 Need Custom AI Development?

I specialize in building complex web applications with integrated AI features. If you need a custom solution or SaaS MVP developed:
📩 Contact Me: https://projectworlds.com/contact
🌐 My Portfolio: https://projectworlds.com