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faizanali2k05/face-photo-search

★ 12PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

A full-stack web app that lets you search a photo collection by face, with a Python FastAPI backend handling face recognition and a React frontend for the search interface.

Mindmap

mindmap
  root((face-photo-search))
    What it does
      Search photos by face
      Face recognition engine
    Backend
      Python FastAPI
      Port 8000
    Frontend
      React with Vite
      Port 5173
    Setup
      Python 3.8+
      Node.js and npm
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Things people build with this

USE CASE 1

Search a personal photo library to find all photos containing a specific person using face recognition.

USE CASE 2

Run a local face-search server to match an uploaded face photo against a stored collection of images.

USE CASE 3

Extend the FastAPI backend with a custom face-indexing pipeline to handle a larger photo collection.

Tech stack

PythonFastAPIReactViteNode.js

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Python 3.8+ and Node.js with npm, run backend and frontend in separate terminals on ports 8000 and 5173.

No license information was mentioned in the explanation.

In plain English

Face Photo Search is a full-stack web application that lets you search for faces across a collection of photos using face recognition. It is split into two parts: a Python backend built with FastAPI that handles the face recognition logic, and a React frontend built with Vite that provides the user interface. To run it locally, you start the backend and frontend in separate terminal windows. The backend runs on port 8000 and the frontend on port 5173. Setup requires Python 3.8 or newer and Node.js with npm. The README is brief and covers only the setup steps and project structure. There is no description of the recognition algorithm used, how photos are indexed, or what the search interface looks like.

Copy-paste prompts

Prompt 1
Start the face-photo-search backend and frontend locally, then upload a photo of a person and search for all matching images in a test folder with 50 photos.
Prompt 2
Modify the face-photo-search FastAPI backend to accept a folder path at startup and pre-index all JPG files in that folder before the first search request.
Prompt 3
Add a confidence threshold slider to the face-photo-search React frontend so users can filter search results by recognition confidence score.
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