✨ Capstone Research Portfolio · AY 2025–2026

Two AI-Integrated Systems for Real-World Service & Institutional Challenges

A formal capstone research manuscript submitted to the College of Computer Studies, Immaculada Concepcion College, presenting the architectural frameworks, functional domains, and technical specifications of two developed systems: an AI-Assisted AR Campus Navigation Platform and an AI-Assisted Smart Laundry Management, Inventory Forecasting, and Scheduling Web-Application.

Explore the Systems ↓ 📄 Research Framework

General Academic Profile

Capstone Research Overview

Documenting research conducted under the Center for Research, Innovation, and Development (CRID), complying with institutional thesis manuscript standards.

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Research Objective

Develop and evaluate two AI-integrated systems addressing distinct operational domains: educational campus navigation through augmented reality, and smart laundry business management through inventory forecasting and intelligent scheduling.

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Methodological Standard

Quantitative evaluation using the ISO/IEC 25010 Software Quality Standard to measure Usability, Efficiency, and Security, evaluated through the Technology Acceptance Model (TAM, Davis 1989).

Thesis Deliverables

The Two Developed Systems

Direct portal access and administrative command centers for each research application — an AR Campus Navigation platform and a Smart Laundry Management system.

AR Campus Navigation 01

AI-Assisted AR 360° Virtual Campus Navigation and Information System for Educational Institutions

A multi-tenant SaaS platform that transforms standardized smartphone-captured panoramas into interactive 360° augmented-reality campus navigation experiences, enabling educational institutions to deploy independent branded virtual tours.

Client / Partner: Innovatech PH (Software Development / Information Technology Department)

Architecture: Web-Based Software-as-a-Service (SaaS) Platform using Two-Tier Architecture (Client-Side, Application Server, Database Server)

Locale: Innovatech PH

🚀 Launch System Portal 🔐 Admin Login Portal

Functional Domains & Specifications

AI-Integrated Panoramic Processing & Cubemap Stitching

Algorithmic conversion of standardized smartphone-captured flat projections into mathematical 360° cubic spherical environments.

Semantic Interactive Spatial Hotspots

Dynamic metadata binding on visual targets to execute database queries rendering room specifications, occupancy, and physical descriptors.

Markerless Augmented Reality Overlay Protocol

Real-time spatial tracking utilizing web-browser cameras to project digital navigation labels and geographic overlays over the live physical environment.

Topological 2D Floorplan Mapping & Point-to-Point Routing

A dynamic cartographic database calculating pathfinding vectors and projecting active "You Are Here" orientation nodes synchronized with the user's spatial perspective.

Natural Language Processing Facility Description Generator

Administrative AI subsystem using OpenAI API to synthesize spatial parameters and automate semantic summary generation for campus facilities.

Multi-School Configuration Interface (Multi-Tenant SaaS Engine)

Multi-tenant database architecture partitioning school data to allow separate institutions to deploy independent branded instances.

Smart Laundry Management 02

AI-Assisted Smart Laundry Management, Inventory Forecasting, and Scheduling Web-Application

An AI-powered web application that streamlines laundry business operations through intelligent order management, automated inventory forecasting using machine learning demand prediction, and smart scheduling algorithms that optimize machine utilization and staff workflow.

Client / Partner: Laundry Service Establishment (Service Operations / Business Management Department)

Architecture: Web-Based Application using Three-Tier Architecture (Presentation Layer, Application Logic Layer, Data Layer)

Locale: Local Laundry Business, Philippines

🚀 Launch System Portal 🔐 Admin Login Portal

Functional Domains & Specifications

AI-Driven Inventory Forecasting & Demand Prediction

Machine learning models analyzing historical consumption patterns to automatically forecast detergent, fabric softener, and supply replenishment needs before stockouts occur.

Smart Scheduling & Queue Management Engine

Algorithmic scheduling system that dynamically assigns laundry orders to available machines and time slots, minimizing idle time and maximizing throughput capacity.

Automated Order Tracking & Status Notifications

Real-time order lifecycle management from drop-off to pick-up with automated customer SMS/email status updates and estimated completion time predictions.

Intelligent Pricing & Revenue Analytics Dashboard

AI-assisted dynamic pricing engine with comprehensive business analytics reporting on revenue trends, peak hours, and service performance KPIs.

Customer Relationship & Loyalty Management

Integrated CRM module tracking customer preferences, order history, and loyalty points to drive repeat business and personalized service recommendations.

Inventory & Supplies Procurement Management

Automated low-stock alerting system with supplier management module and purchase order generation based on AI-forecasted replenishment schedules.

Research Rigor

Theoretical & Technical Framework

Grounding the evaluation in established academic instruments.

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Technology Acceptance Model (TAM)

Davis, 1989

Assessing Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) among system administrators and target end-users to validate adoption viability.

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ISO/IEC 25010 Standard

Software Quality Evaluation

Structured instrument evaluating Two primary quality dimensions: Usability, Functional Efficiency, and System Security across each developed platform.

Investigative Team

Research Proponents & Advisory Panel

Research Proponents

Sean Charles Vicente Pugosa

Principal Investigator

Cedric Fuerzas Sy

Co-Investigator

Christian Abuyabor

Co-Investigator

Advisory Panel

Mr. Eser Fernandez

Research Adviser

Mr. Jonathan E. Pariente, MIT

Program Head / Chairman