AuthentiGate

AuthentiGate is a secure authentication platform that integrates advanced face and finger gesture recognition for user registration and login. It leverages cutting-edge machine learning models and a robust architecture to ensure scalability, reliability, and security.

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🚀 Features

Functional Features

1. User Registration

   • Create accounts with username, email, and password.
   • Set up face lock using face and finger gesture recognition.

2. User Login

   • Authenticate with credentials and face/finger gestures.
   • Secure login and validation workflows.

3. Data Encryption

   • All user credentials and biometric data are securely encrypted.

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🛠️ Architecture Overview

Frontend

• Built with Flutter for cross-platform support.
• Provides a responsive and user-friendly interface.

Backend

• Developed with Java Spring Boot.
• Handles API endpoints, business logic, and secure data interactions.

Database

• MongoDB hosted on a cloud provider.
• Securely stores user credentials and authentication logs.

Face Lock Integration

• Utilizes Azure Face API or a custom machine learning model for gesture recognition.

Hosting

• Hosted on a reliable cloud platform for scalability.

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📋 Requirements

Functional Requirements

• Register users with secure credential storage.
• Authenticate using credentials and biometric data.
• Provide user-friendly error messages for authentication failures.

Non-Functional Requirements

• Encrypt data during storage and transmission.
• Limit login attempts to five consecutive failures.

Compliance

• Complies with relevant data protection regulations.
• Allows users to delete accounts and associated data.

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🧰 Technology Stack

Component	Technology
Frontend	Flutter
Backend	Java Spring Boot
Database	MongoDB
Face Lock Integration	Azure Face API / Custom ML Model
Hosting	Cloud Hosting Platform

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🌟 Advantages

1. Scalable: Designed to handle high traffic and large user bases.
2. Secure: Advanced encryption and HTTPS protocols ensure data safety.
3. Responsive Design: Supports both desktop and mobile platforms.
4. Future-Proof: Easily extendable to integrate features like voice authentication.

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📜 How to Run

1. Clone the Repository

   git clone https://github.com/InderParmar/AuthentiGate.git
   cd AuthentiGate

2. Set Up Environment Variables Create a .env file with the following:

   MONGO_DB_PASSWORD=<your_password>
   

3. Run the Backend

   • Use Maven to run the Spring Boot application:

     ./mvnw spring-boot:run

4. Run the Frontend

   • Open the Flutter project in a Flutter-supported IDE and run it on your desired platform.

5. Access the Application

   • Backend API: http://localhost:8080
   • Frontend: Launch on a browser or emulator.

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🤝 Contributions

This project is currently closed for external contributions.

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📜 License

This project is proprietary. Unauthorized distribution or modification is prohibited.

This version reflects the use of MongoDB as the database, Java Spring Boot for the backend, and the non-open-source nature of the project. Let me know if additional edits are needed! 🚀