In this project, we explored a variety of Deep Learning models to upscale anime images.

Our goal is to fine-tune the R-ESRGAN model specifically for anime and anime upscaling tasks.

To find out more about my projects, feel free to explore the links below:

Github

Visit my GitHub profile to explore repositories, experiments, and ongoing work.

This project aims to develop a personalized NLP learning assistant specializing in Singapore’s history, utilizing Retrieval-Augmented Generation (RAG) technology.

The system will leverage the SIT library to create an engaging and educational platform delivering accurate and well-sourced historical information through interactive conversations.

The chatbot will serve as both an educational tool for students and a public resource for anyone interested in Singapore’s rich history.

To find out more about my projects, feel free to explore the links below:

Github

Visit my GitHub profile to explore repositories, experiments, and ongoing work.

This repository contains a project focused on visualizing the resident population density across Singapore's planning areas through a choropleth map.

The map is interactive and built using R's Shiny, leaflet, and geospatial data from the Singapore Department of Statistics and Urban Redevelopment Authority (URA).

The project allows for an exploration of how population density changes over time and across different age groups.

To find out more about my projects, feel free to explore the links below:

Github

Visit my GitHub profile to explore repositories, experiments, and ongoing work.

In this project, we developed a Python application with a graphical user interface (GUI) that allows you to display custom Discord Rich Presence status for video games.

The app reads game information from an Excel/CSV database or Google Sheets and displays it on your Discord profile. Features include:

• 🎮 Game Database: Store multiple games in Excel/CSV or Google Sheets with custom details
• ☁️ Google Sheets Support: Load your game database directly from Google Sheets
• 🖥️ User-Friendly GUI: Easy-to-use interface built with tkinter
• 🔄 Real-Time Updates: Change your Discord status instantly
• ⏱️ Elapsed Time: Optional elapsed time display
• 📝 Customizable: Edit all presence fields directly in the UI
• 💾 Persistent Config: Save your Discord Client ID in a config file

To find out more about my projects, feel free to explore the links below:

Github

Visit my GitHub profile to explore repositories, experiments, and ongoing work.

This project implements a Speech Emotion Recognition (SER) system using the Wav2Vec2 pre-trained model.

The system analyzes speech audio and classifies it into four emotional categories: Neutral, Happy, Sad, and Angry.

This implementation is based on the paper "3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition" but with significant modifications to use modern transformer-based architectures.

To find out more about my projects, feel free to explore the links below:

Github

Visit my GitHub profile to explore repositories, experiments, and ongoing work.

A Virtual Reality Museum built with Unity for the HTC Vive, allowing users to explore exhibits in a fully immersive environment.

Features include:

• Interactive Exhibits: Explore 3D models, art, and historical artifacts.
• Teleportation System: Smooth movement with teleportation to avoid motion sickness.
• Hand Interaction: Pick up, inspect, and interact with objects using HTC Vive controllers.
• Audio Guide: Listen to audio explanations of exhibits.
• Customizable Layout: Add and arrange exhibits using the Unity editor.

To find out more about my projects, feel free to explore the links below:

Github YouTube

Visit my GitHub profile to explore repositories, experiments, and ongoing work.