A scholarship registry, monitoring dashboard and job matching prediction system for the Province of Davao del Sur.
Apply NowWhat are the key features of the PROWESS project?
This feature allows users to submit scholarship application, attach document requirements, monitor application status, and update information. This feature simplifies and accelerates the application process, scholarship renewal, or job postings, and enhancing user convenience and efficiency.
Data analytics for student scholars entails the systematic use of data to improve data visualization of scholars and decision-making. It includes actions such as collecting and evaluating academic data, finding trends, and making informed decisions to meet the needs of every party.
This feature compares individual's skills, qualifications, or preferences with available opportunities set by the industry. It helps users find the most suitable matches, streamlining the process of connecting individuals with opportunities that align with their abilities and capabilities.
Implementing an online scholarship application feature involves creating a digital platform where students can easily apply for scholarships.
Implementing data analytics features for online scholarship renewal can greatly enhance the efficiency, transparency, and decision-making processes.
Skills matching to the industry involves incorporating features that assess applicants' skills and align them with the requirements of the specific industry for future job opportunity.
The emailing module basically will speed up your email marketing operations while offering more subscriber control.
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The emailing module basically will speed up your email marketing operations while offering more subscriber control.
Do you need to build lists for your email campaigns? It just got easier with Evolo.
Meet the team behind PROWESS! Our team is composed of skilled and dedicated individuals who have worked together to create PROWESS Online Scholarship System A scholarship registry, monitoring dashboard and job matching prediction system for the Province of Davao del Sur.
Dr. John Vianne B. Murcia
Project Leader
Eduard L. Pulvera, MSIS
Project Staff
Joan May B. Delima, MIT
Project Staff
Conrado B. Panerio, Jr., MAT
Project Staff
John Raven V. Manulat, MIT
Project Staff
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