Developed the EduTracker system to monitor course dissemination to school clients and automate report generation based on parameters. This system reduced manual reporting time by 40% and enhanced efficiency in course distribution and monitoring. Utilized GitHub for version control, Apache for local deployment, Google Sheets API, Gmail API, Laravel, and MySQL.

Created a custom Python script utilizing the MXroute API to automate email creation for bulk user accounts in our LMS. This script reduced setup time by 70% and ensured consistent account configuration. Implemented using native Python and the MXroute API.

A comprehensive web-based Human Resource Information System specifically developed for MORESCO-1’s HR department. This cloud-hosted platform streamlines HR operations from recruitment to retirement, featuring integrated modules for payroll processing, attendance tracking, performance evaluation, and employee data management. Deployed via VMWare for optimal performance and accessibility across the organization’s network infrastructure.

A centralized helpdesk solution designed for MORESCO-1’s internal technical support management. The system facilitates ticket tracking, issue resolution, and support request management, enhancing communication between IT staff and employees. Deployed through VMWare for seamless integration with existing infrastructure.

HRIS (Human Resource Information System) is a digital platform designed to streamline HR processes, from recruitment to retirement. It integrates various HR functions like payroll, attendance tracking, performance evaluation, and employee data management into a single system. HRIS enhances efficiency, accuracy, and compliance while providing valuable insights through data analytics, ultimately empowering organizations to make informed decisions and optimize their workforce management strategies.

The File Repository System Project aims to create a centralized platform for storing and managing digital files. It offers users a secure and organized way to upload, access, and share documents, images, videos, and other file types. With features like version control, access permissions, and search functionality, the system ensures efficient file management and collaboration. This project enhances productivity by eliminating the hassle of scattered files and providing a centralized repository for easy retrieval and sharing of information.

he Health Detection Expert System utilizes AI and machine learning to analyze health data, detecting anomalies and potential health issues. By assessing vital signs, symptoms, and medical history, it provides accurate assessments, enabling proactive healthcare interventions and improved patient outcomes.