Face Authentication System

This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.

Project Archietecture

Run the Application

Step 1-: Clone the Repository

git clone https://github.com/iftesha1/Deep_Biometric_Authenticator.git

Step 2-: Creat conda environment

conda create -p ./env python=3.8.13 -y

Step 3-: Activate Conda environment

conda activate ./env

Step 4-: Install requirements

pip install -r requirements.txt

Step 5-: Export the environment variable

export SECRET_KEY=<SECRET_KEY>

export ALGORITHM=<ALGORITHM>

export MONGODB_URL_KEY=<MONGODB_URL_KEY>

export DATABASE_NAME=<DATABASE_NAME>

export USER_COLLECTION_NAME=<USER_COLLECTION_NAME>

export EMBEDDING_COLLECTION_NAME=<EMBEDDING_COLLECTION_NAME>

.env file

SECRET_KEY=KlgH6AzYDeZeGwD288to79I3vTHT8wp7
ALGORITHM=HS256
DATABASE_NAME='UserDatabase'
USER_COLLECTION_NAME='User'
EMBEDDING_COLLECTION_NAME='Embedding'
MONGODB_URL_KEY=

Step 6-: Run the application server

python app.py