Our project aims to create a facial recognition-based secure and user-friendly authentication method for digital transactions. Our solution moves away from conventional approaches like OTPs, which are susceptible to phishing and hacking attacks, and instead incorporates the use of facial recognition technology.
Face-Lock is a facial recognition-based authentication system designed to enhance the security and convenience of digital transactions. By leveraging facial recognition technology, we provide a robust and user-friendly alternative to traditional authentication methods like OTPs. Our solution offers an extra layer of protection against fraud and unauthorized access, ensuring a seamless and secure experience for users.
To get started with Face-Lock, follow the instructions below:
-
Clone the repository and navigate to the project folder:
git clone https://github.com/your-username/Face-Lock.git cd Face-Lock -
Download the Machine Learning Model:
The Machine Learning model used by Face-Lock is not included in the repository due to its large file size. Please open the following link to access the model:
Once downloaded, extract the contents of the model folder and place it in the main clone folder.
- Set up the Database Connection:
Create an .env file in the project's root directory and provide the link to your database. Example:
DB_URL=your-database-url
- Install Dependencies:
Install the dependencies for each folder:
client (Frontend):
cd client
npm install
server (Backend):
cd server
pip install -r requirements.txt
ml-server (Machine Learning Server):
cd ml-server
pip install -r requirements.txt
- Run the Application:
Open three separate terminals and run the following commands:
Terminal 1 (Server):
cd server
python mongo.py
Terminal 2 (Machine Learning Server):
cd ml-server
python backend.py
Terminal 3 (Client):
cd client
npm start
This will start the application, and you will have your database running.
Feel free to explore and test the Face-Lock application with your own database configuration. Enjoy secure and user-friendly authentication for digital transactions!