All my projects can be found on GitHub, click below to go directly to Python\_FaceRecogniton\_Voting.


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A voting app developed in python, uses face recognition to track who has voted.

Adam Keith

The Face Recognition Python Project is a sophisticated application designed to utilise biometric technology for secure and efficient facial recognition. Developed in Python, it leverages advanced libraries such as OpenCV and dlib to accurately detect and identify facial features. This project is designed to demonstrate the power of machine learning and image processing in real-world applications, such as security systems and user authentication.

The application allows users to train the system by uploading facial images to create a dataset, which is then processed to recognise and verify individuals. Its modular structure ensures flexibility and scalability, making it an ideal foundation for further development or integration into larger systems. The Face Recognition Python Project underscores my expertise in programming and his commitment to creating innovative and practical solutions.





All my projects can be found on GitHub, click below to go directly to HR-Tracker.


Download it for yourself

HR Tracking WebApp. Includes a log in system, a staff flight tracker, Admin Panel and a staff holiday tracker.

The HR Tracking Web Application is a bespoke solution developed to streamline the management of employee activities within a company. It offers functionalities such as maintaining an up-to-date roster of employees, tracking holidays, managing flight details, and providing a comprehensive HR dashboard. The application ensures that each employee accesses only pertinent information through a secure login system. Upon their initial login, users are prompted to accept the terms and conditions and to change their password, enhancing security and compliance. Administrators have the capability to reset passwords via the admin panel, ensuring smooth user management.

To deploy this application, a properly configured database is required, with specific setup details available within the codebase. It's important to note that the program necessitates certain edits prior to deployment to align with the specific needs of the organisation. Developed by Adam Keith, the application incorporates general libraries such as JQuery, Moment, and FullCalendar to enhance functionality and user experience. While AI tools assisted in accelerating the coding process, they were utilised under detailed guidance and prompts based on code written by Adam Keith, ensuring a tailored and efficient solution for HR management.



