Published Paper Details:

The proposed system presents an embedded vision-based solution for automated validation of resume photographs using Raspberry Pi and OpenCV. In modern recruitment processes, verifying whether candidate photographs meet professional standards is typically performed manually, leading to inconsistencies, time consumption, and human error. To address this issue, the system captures real-time images using a camera module and performs image processing techniques such as face detection, facial landmark identification, pose estimation, and upper-body framing validation. It evaluates key parameters including face alignment, ear visibility, image clarity, and lighting conditions to classify images as valid or invalid. The system provides immediate feedback through an LCD display and buzzer alert, and also sends email notifications to inform users about the validation results. By integrating hardware and software components into a compact and cost-effective embedded platform, the proposed system ensures standardized, accurate, and efficient resume photo validation, significantly reducing manual effort while improving reliability in recruitment