img

Personal Secret Vault with Biometric Lock Simulation

Why Choose This Project?

With rising concerns about personal data privacy, users seek ways to securely store sensitive information (notes, files, passwords, images, etc.) using biometric authentication. This project simulates biometric locking mechanisms (like fingerprint or face recognition) for a personal vault that encrypts user data using strong cryptography. Ideal for cybersecurity, full-stack, or AI-integrated projects.

What You Get in This Project

A secure personal vault web app where users can store sensitive data (text, files, images) behind a biometric simulation lock, with AES encryption, authentication, and access logs.

Technology Stack

Layer Tech/Tools
Frontend HTML, CSS, Bootstrap, JavaScript, WebRTC (for webcam access)
Backend Node.js (Express) / Java Spring Boot / Django
Biometric Sim Simulated fingerprint/face ID via webcam using TensorFlow.js
Encryption AES-256 for vault content
Database MongoDB / MySQL / PostgreSQL
Storage Encrypted local storage or cloud (S3/Firebase)
Auth JWT / Spring Security / Django Auth

Key Features

Feature Description
Biometric Lock Simulation Face/fingerprint scan simulation using webcam + ML model
User Login & Registration Traditional login with 2FA or password + biometric sim
Secret Vault Area Users can store text notes, files, or links securely
AES-256 Encryption All data in vault is encrypted before saving
Encrypted Image/File Support Upload and store private files securely
Face Recognition (Simulated) Recognizes user's face (via webcam) using client-side TensorFlow.js model
Access Logs Record each login, biometric match, or access attempt
Auto Lock Timeout Vault auto locks after inactivity
Anti-Brute-Force Lock account after N failed unlock attempts
Export/Import Vault User can export or import vault content (encrypted backup)

Biometric Simulation Options

Option Technology Description
Face ID Sim TensorFlow.js + Webcam Detect face via browser, match with pre-trained embedding
Fingerprint UI HTML/CSS Animation + Password Fake scanner interface + pattern/pin simulation
Mobile Biometric Use WebAuthn on mobile devices Real biometric prompt on supported phones (optional)

Access Control & Flow

  1. User logs in with email/password

  2. System requests biometric simulation:

    • Webcam opens → face detection starts

    • Model compares face to stored embedding

  3. If biometric success → decrypt vault

  4. If failed → deny access, log attempt

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
img
Share this course: