The primary goal of this backend system is to support the monitoring of students' attendance, academic performance, behavior, and well-being. It serves as the backbone for enhancing school administration and facilitating communication between the educational institution and students' guardians.
- Attendance Tracking: Stores and manages students' attendance records.
- Academic Performance Analysis: Provides APIs to retrieve and analyze academic data.
- Behavioral Monitoring: Facilitates the storage and querying of students' behavioral patterns.
- Well-being Assessments: Manages data related to students' overall well-being.
- User Authentication: Secure login and access control using JWT.
- Data Encryption: Ensures sensitive information is securely stored.
- Reliable Data Management: Centralizes student information for efficient access.
- Scalable Architecture: Supports future expansions and increased user demands.
- Secure Communication: Protects data integrity and privacy through robust security practices.
- Integration Ready: Designed to integrate seamlessly with frontend applications.
This backend system utilizes the following principal technologies:
- Flask (2.3.0): A lightweight web framework for building APIs.
- Flask-SQLAlchemy (2.5.1): For database interactions and ORM functionality.
- Flask-CORS (3.0.10): To enable secure cross-origin resource sharing.
- Werkzeug (2.3.0): For request and response handling.
- MySQL-Connector (2.2.9): For seamless database connection and communication.
- mysql-connector-python (9.1.0): For advanced MySQL database operations.
- Flask-JWT-Extended (4.7.1): To implement JSON Web Token authentication.
- Flask-Bcrypt (1.0.1): For secure password hashing.
- Setup Database: Configure and initialize the MySQL database.
- Environment Configuration: Set up environment variables for database credentials and JWT secrets.
- Run the Server: Start the Flask application to serve the APIs.
- Integration: Connect the backend to the frontend for seamless data flow.
- Monitor and Scale: Use logs and monitoring tools to ensure reliability and scalability.
This project is licensed under the MIT License. See the LICENSE file for more details.
For more information, support, or inquiries, please contact [johnymonteiiro@gmail.com].