Veteran Job Application System

A Leading veteran job platform based in US

link

Admin Console: Tenant Portal

A WYSIWYG and CMS platform

link

Tenant Portal

A Rental Tenant Portal for Warehouses

link

Agent System

Betting admin system for In-Between game

link

In-Between

A Filipino card game

link

Horse Race Betting Game

A Betting platform that has multiple managing control

link

Sabong World Cup

A Betting platform that has multiple managing control

link

Intranet: Employee e-learning platform

link

Online Auto Repair Management using GPS

link

Online Ordering and Delivery Management for Restaurant Owners in Manila

link

Online Admin Management for barangays in Manila

link

Online Class and Activity Management for Python Learners using Code-Bert and Vector Embeddings

link

Online Ordering and Inventory Management using Time Series and Analysis with ARIMA Model for Hardware Stores in Manila

Leveraging machine learning to optimize the ordering and inventory management processes for a hardware store in Manila. The following features include: preprocessed data using Pandas and NumPy to enhance time series analysis and forecasting accuracy; fine-tuned the ARIMA model using scikit-learn to optimize forecasting results; created recommendation systems to predict in-demand stocks and notify users; streamlined the ordering and inventory management processes for improved efficiency.

link

Course Management System with hybrid recommender system for SEAMAN Institute in Manila

Utilizing machine learning to enhance course management and student learning for SEAMAN Institute in Manila. The following features include: designed a course management module that allows instructors to evaluate each student’s course; constructed an examination module to enable instructors to create exams and students to complete them seamlessly; incorporated a recommendation module to help students learn topics more efficiently.

link

Understanding the Cause and Effect of Student Debt through ML

Leveraging artificial intelligence to analyze and better understand the scope of the student debt crisis. The following features include: generated detailed insights into public sentiment and financial trends related to student debt; built predictive models to identify risk factors and potential solutions for loan management; enabled policymakers, educational institutions, and financial stakeholders to understand the crisis from a data-driven perspective.

link

Creating a Career Recommendation System to Make Suggestion for Students

Utilizing machine learning to recommend and suggest careers for students. The following features include: created a career suggestion machine learning model using the available public dataset; provided information about how the student population in Lagos State is distributed across the country; based on public data, made recommendations for areas in which students should improve to eliminate a lack of preparation and poor career choices for tertiary institutions.

link