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Artificial Intelligence · Major Project

Live Face Recognition Web App

Browser webcam recognition with enrolment and a people gallery

2-3 weeks build

Overview

A general-purpose recognition web app: the browser streams webcam frames to a FastAPI backend that detects faces, computes embeddings and labels known people live on screen. Users enrol someone by capturing a few angles, manage the gallery, set the match threshold and review recognition history, with every enrolment gated by a consent checkbox.

What makes it stand up

  • 01Live recognition in the browser with labelled boxes
  • 02Guided multi-angle enrolment from the webcam
  • 03Adjustable match threshold with an unknown-face state
  • 04Gallery management with delete-on-request
  • 05Recognition history with timestamps and snapshots

Module breakdown

  1. 01

    Capture

    React webcam component streaming frames over WebSockets.

  2. 02

    Face pipeline

    Detection, alignment and embedding on the server.

  3. 03

    Matching

    Cosine similarity against the enrolled gallery.

  4. 04

    Gallery

    Enrol, rename and delete people with consent records.

  5. 05

    History

    Searchable log of recognitions.

After this, you will be able to

  • Explain embedding similarity versus face classification
  • Defend your threshold choice with an ROC curve
  • Demo enrolling a classmate and recognising them live

Technology stack

  • Python
  • FastAPI
  • React
  • OpenCV
  • FaceNet
  • MongoDB

Complete kit

₹6,999₹11,999
-42%

Delivered in under 48 hours

Level
Major Project
Domain
Artificial Intelligence
Build time
2-3 weeks
Difficulty

You receive

  • Complete, commented source code
  • 60-90 page project report (IEEE format)
  • Editable presentation deck
  • Architecture, ER and UML diagrams
  • Local setup and deployment guide
  • Sample dataset or seed data
  • Viva question bank with answers
  • One 45-minute walkthrough call
  • 30 days of doubt-clearing support
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