Software as a Service

Yes

Techstack

Purpose

An audiobook web-app, similar to you YouTube, that allows to upload of 3-4 videos per day, with file sizes of 1-2GB per video, and ensures smooth video streaming.

Description

SeLeBox is an entertainment website that will let the users listen to different tastes of stories such as Pure Romance, Romantic-Comedy and Hot-Romance Love Stories. The audiobook will play with the use of coins that you can purchase inside the application and available at different prices. Mainly, it aims to deliver unique and amazing stories that you will be enjoyed. This is a web-app that will bring you into a new world of romances.

Software as a Service

Yes

Techstack

Purpose

An audiobook app, similar to you YouTube, that allows to upload of 3-4 videos per day, with file sizes of 1-2GB per video, and ensures smooth video streaming.

Description

Tales of Siren is a Filipino Audiobook Mobile Application that will let the users listen to different tastes of stories such as Pure Romance, Romantic-Comedy and Hot-Romance Love Stories. The audiobook will play with the use of coins that you can purchase inside the application and available at different prices. Mainly, it aims to deliver unique and amazing stories that you will be enjoyed. This is an App that will bring you into a new world of romances.

Software as a Service

No

Techstack

Purpose

To develop a GUI dashboard using PowerApps to manage and monitor multiple Raspberry Pi 5 devices equipped with Dartboards from a single interface.

Description

This project involves creating a GUI dashboard with PowerApps that enables users to manage and monitor multiple Raspberry Pi 5 devices, each connected to Dartboards, from a unified interface. The dashboard will provide real-time insights and control, streamlining the management of multiple devices and improving operational efficiency.

Software as a Service

No

Techstack

Purpose

To implement Azure AD Privileged Identity Management (PIM) to manage, control, and monitor access to administrative roles, groups, and services within Azure AD, Azure, and other Microsoft Online Services.

Description

Azure AD Privileged Identity Management (PIM) is a service designed to help organizations manage, control, and monitor access to critical resources. By using PIM, organizations can oversee administrative roles, groups, and services in Azure AD and Microsoft Online Services, ensuring secure and compliant access management. The service provides tools for enforcing access policies, monitoring usage, and reducing the risk associated with privileged access.

Software as a Service

No

Techstack

Purpose

Implement a robust Zabbix deployment to effectively monitor and manage IT infrastructure, ensuring high availability and performance.

Description

Deploying Zabbix aims to provide comprehensive monitoring of network devices, servers, and applications to proactively identify and address issues before they impact operations. The deployment will involve setting up Zabbix server, configuring agents, and defining monitoring parameters to cover critical components of the IT infrastructure. This will enhance system reliability, reduce downtime, and improve overall performance through timely alerts and actionable insights.

Software as a Service

No

Techstack

Purpose

To develop a comprehensive, cloud-accessible system for cat management that integrates object detection and classification using YOLOv8, movement activity characterization via accelerometer data, a robust pet information database, and a vaccination scheduling feature to ensure timely healthcare.

Description

This project develops a machine learning–based system to detect, classify, and track cats’ movement using YOLOv8, integrating pet information, health records, and real-time activity data in a cloud-hosted database. It includes features such as vaccination scheduling and health monitoring via accelerometer data, all accessible via a user-friendly web interface.

Software as a Service

No

Techstack

Purpose

This study aims to develop an IoT-enabled fertilizer production system for chicken manure that uses an electronic nose and multiple sensors to monitor micronutrient levels (nitrogen, phosphorus, potassium), environmental factors (temperature, humidity, moisture), and evaluate the effects of manure age and type on crop growth, with the goal of creating a reliable, user-friendly, and effective organic fertilizer machine.

Description

This study aims to develop an IoT-based fertilizer production system that uses an electronic nose to analyze the micronutrient content of chicken manure. The system incorporates environmental sensors to monitor key factors like humidity, moisture, and temperature during composting. It evaluates manure quality over time and compares its effectiveness with other organic fertilizers to ensure reliable, user-friendly, and nutrient-rich output for agricultural use.

Software as a Service

No

Techstack

Purpose

The objective is to build a crypto trading monitor using Python that retrieves coin klines data from the Binance API to identify patterns of higher lows and higher highs, and vice versa.

Description

This personal project involves developing a crypto trading monitor that uses Python to access and analyze trading data from the Binance API. The tool will focus on identifying key patterns in the data, such as higher lows and higher highs, to assist in trading decisions. The project is intended for private use only, offering insights into market trends and price movements.

Software as a Service

Yes

Techstack

Purpose

The objective is to develop an automated web scraping tool that extracts data from the Indiabix website.

Description

This project involves creating an automated web scraping tool designed to gather information from the Indiabix website. The tool will systematically retrieve and process data from the site, such as question papers, practice tests, or other relevant content, to facilitate data analysis or content aggregation.

Software as a Service

No

Techstack

Purpose

The objective is to develop a real-time garbage vehicle tracking system that enhances the current system used by the local government unit (LGU) by utilizing push notifications for collection alerts, integrating a GUI for map-based monitoring, and employing ESP8266 NodeMCU and SIM808 module for data gathering and transmission.

Description

A real-time garbage vehicle tracking system aims to enhance the current waste management process of local government units by providing timely updates to users via push notifications and a website with map integration. The system utilizes a NodeMCU and SIM808 module to gather data, locate vehicles, and transmit updates through GSM networks, while RFID identifies drivers and triggers notifications. Users can monitor the vehicle’s location, set notification points, and track collection progress conveniently through their personal devices.

Software as a Service

No

Techstack

Purpose

The objective is to design a radio frequency-based indoor localization system using Zigbee technology to assess its feasibility and accuracy in tracking a person's position and their distance relative to others.

Description

This study involves creating an indoor localization system that employs Zigbee technology to track individuals' positions within a defined area. The system will evaluate the accuracy of tracking and distance measurement between individuals, aiming to provide reliable and efficient localization solutions for indoor environments.

Software as a Service

No

Techstack

Purpose

The main purpose of this study is to detect the presence of chemical residue in broccoli using Arduino based E-tongue sensors with LVQ and PCA algorithms.

Description

This study focuses on developing a system that utilizes Arduino-based E-tongue sensors to detect chemical residues in broccoli. By applying LVQ and PCA algorithms, the system will analyze sensor data to identify and quantify chemical contaminants, aiming to ensure food safety and quality.

Software as a Service

No

Techstack

Purpose

The objective is to develop a prototype that counts CBC (Complete Blood Count) and DBC (Detailed Blood Count) using image processing and machine learning techniques.

Description

A prototype that utilizes image processing and machine learning to automatically count and analyze CBC and DBC data from blood samples. The system will process images of blood samples to identify and count various blood components, such as red and white blood cells, and platelets, providing accurate and efficient results for medical diagnostics.

Software as a Service

No

Techstack

Purpose

To enable people to compete with one another by promoting a healthy lifestyle of Walking.

Description

This mobile app encouraged a healthy lifestyle by enabling users to compete with one another through walking challenges. It provided a platform for users to track their steps, set personal goals, and participate in friendly competitions with friends and other users. The app also offered motivational features such as rewards, leaderboards, and progress tracking to keep users engaged and committed to their fitness journeys. By fostering a sense of community and competition, the app aimed to make walking a more enjoyable and social activity, promoting overall health and wellness.

Software as a Service

No

Techstack

Purpose

The objective is to develop a faculty management system that tracks professors' attendance and provides students with convenient access to consultation times, utilizing Internet of Things (IoT) technology for communication outside the school or university.

Description

A faculty managing system is used to track the attendance of the professors as well as the convenience for the students in knowing their consultation time. In our system, Internet of Things is implemented wherein professors can communicate outside the school/university.

Software as a Service

No

Techstack

Purpose

The objective is to develop a rear-window display system, controlled by a voice-recognition mobile app, to relay front road conditions to trailing vehicles.

Description

The project involved developing a prototype attached to the rear window of a car that displays images controlled via a mobile app through voice recognition. This system helps vehicles behind the car understand what is happening in front of them by providing real-time visual information, enhancing situational awareness and improving safety on the road.

Software as a Service

No

Techstack

Purpose

Develop a TracePath simulator for IS-IS (Intermediate System to Intermediate System) networks to enhance the understanding of path selection and routing behavior.

Description

The IS-IS TracePath Simulator allows network engineers to visualize and analyze the routing paths within an IS-IS network. It provides insights into the decision-making process of IS-IS routers, helping users troubleshoot and optimize their network configurations. By simulating various network topologies and scenarios, the tool aids in predicting routing outcomes and identifying potential issues before they impact live networks.

Software as a Service

No

Techstack

Purpose

The aim of the study is to identify and classify hand gestures of American Sign Languages by utilizing 3DCNN and LSTM algorithms.

Description

A system that leverages 3D Convolutional Neural Networks (3DCNN) and Long Short-Term Memory (LSTM) algorithms to accurately identify and classify hand gestures in American Sign Language (ASL). The system will analyze gesture data to improve communication and accessibility for ASL users through advanced machine learning techniques.

Software as a Service

Yes

Techstack

Purpose

The objective is to develop an automated RFID-based system that tracks members' check-in and check-out times using their school IDs as unique identifiers.

Description

The project involved creating an automated RFID-based device that tracks members' entry and exit times using their school IDs as unique identifiers. This system automates the monitoring process, providing accurate records of when members check in and out, and streamlining attendance management.

Software as a Service

Yes

Techstack

Purpose

To develop a real-time surveillance system using a 720p camera with a Raspberry Pi model 3B, featuring a GUI for live video display, face detection, and logging of detected individuals.

Description

The project consists of a 720p camera connected to a Raspberry Pi model 3B located at the entrance of a certain location. It is created with a Graphical User Interface (GUI) to show the real-time recording of the camera. It has a feature that indicates when the last (wanted) person was seen in the location of the camera it captures the face, and records a video for a short period of time (9-10 seconds). At the same time it will create logs on a notepad, that indicates who is detected along with the time and date that he/she was last seen, as well as the location. Frontal Face Haar Cascade Algorithm is used for the face detection while deep learning algorithms: Histogram of Oriented Gradients (HOG) and Linear Support Vector Machine (SVM) are used to recognize the face.

Software as a Service

No

Techstack

Purpose

The objective of this study is to classify heart arrythmias such as cardiac ischemia, atrial fibrillation, and ventricular tachycardia in the ECG results of vape smokers using a real-time ECG feature detection algorithm.

Description

The research focuses on classifying various heart arrhythmias, such as cardiac ischemia, atrial fibrillation, and ventricular tachycardia, in ECG results from vape smokers. By employing a real-time ECG feature detection algorithm, the analysis will identify these conditions and evaluate their prevalence among vape users, aiming to improve understanding of vaping’s impact on heart health and enhance real-time arrhythmia detection.

Software as a Service

No

Techstack

Purpose

The goal is to develop a web-app crypto trading monitor that retrieves and analyzes trading coin klines data via the Binance API to identify market trends such as higher lows and higher highs.

Description

This project involves creating a web application for monitoring cryptocurrency trading, built with Python and React JS. The app will use the Binance API to fetch trading coin klines data and analyze it to identify significant market trends, including higher lows and higher highs. This personal, private project is intended solely for viewing and tracking cryptocurrency trading data.

Software as a Service

No

Techstack

Purpose

Theis aims to develop a desktop application that tracks and manages member attendance within a college university organization, records and schedules events and meetings, maintains a database of member information, and improves organizational efficiency through effective attendance and event management.

Description

This project involves developing a desktop application for timesheet management to track the attendance of members within a college university organization. The app will record and monitor attendance, manage event schedules, maintain a database of member information, and log meetings held. It aims to streamline attendance tracking and event management for improved organizational efficiency.

Software as a Service

No

Techstack

Purpose

To develop a desktop application for a local dental clinic using C#.NET and SQLite, to manage patient records, schedule appointments, track treatment histories, and handle billing information, and to ensure efficient data management and a user-friendly interface.

Description

This project involves developing a desktop application for a local dental clinic using C#.NET and SQLite as the database. The application will manage patient records, appointment scheduling, treatment histories, and billing information. By integrating C#.NET with SQLite, the system aims to provide a user-friendly interface and efficient data management for the clinic’s daily operations.

Software as a Service

Yes

Techstack

Purpose

To create a web-based educational platform aimed at empowering college students to begin their financial investment journeys. This platform will provide personalized lessons based on user profiles, helping students learn about stocks, crypto, mutual funds, index funds, REITs, and budgeting strategies, ultimately fostering financial literacy and investment confidence.

Description

The "Young Vestor" is an online learning system designed to teach students financial investment basics. The platform allows users to register by providing details such as name, age, email, capital range, risk appetite, and financial literacy level. Based on this data, the system recommends tailored lessons, while also offering the flexibility to explore other investment lessons.

Software as a Service

Yes

Techstack

Purpose

The objective is to develop a dart game installed on a Raspberry Pi using ReactJS and ElectronJS.

Description

This project involves creating a dart game application designed to run on a Raspberry Pi. The game will be built using ReactJS for the front-end interface and ElectronJS for packaging the application into a desktop app. The goal is to provide an engaging and interactive dart game experience, leveraging the capabilities of the Raspberry Pi for a unique gaming setup.