SAP HANA Database Client for Go

A DirectX 12 renderer featuring Deferred and Forward rendering paths, PBR, various post-processing effects, and more.

API for the famous HeadDatabase plugin

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

🏆 AWS AI Agent Hackathon Entry: Multi-agent HDB advisor using Amazon Bedrock AgentCore, Nova Lite, and intelligent cost optimization. Find your perfect Singapore home with AI.

Autonomous multi-agent system for intelligent HDB resale search — combining geospatial analytics, MRT proximity, and price intelligence using DeepAgents, LangGraph, FastAPI, Gradio UI, and MCP Toolbox. Fully Dockerized with reproducible data ingestion pipelines.

SAP HANA Database Connection Pool for Node.js

bnu-hdb-uucp: BNU (Basic Network Utilities) / HDB (HoneyDanBer) UUCP

Download and convert Singapore HDB Carpark CSV to JSON files.

migrate OpenLDAP data's backend from bdb or hdb to mdb

A blog for minimal footprint homelab projects in Singapore.

AI Agent acting as a Singapore HDB buyer's agent assisting in shortlisting, viewing management but also take informed decisions. This is a team of multiple agents working together.

🤖 Streamline HDB property recommendations with a cost-optimized, multi-agent system using AWS for intelligent data routing and analysis.

A CRUD Flask App for digitizing the tenancy renewal declaration process, built with Python Flask, MongoDB and Google Tesseract

Library for HDB++ implementing legacy HDB MySQL compatible schema. Moved to https://gitlab.com/tango-controls/hdbpp/libhdbpp-mysql-legacy

Group project — Singapore HDB resale price prediction. EDA, feature engineering, Linear Regression vs XGBoost, business slides, and a Streamlit demo screenshot. Kaggle source linked; data excluded.

Helps to scrape HDB units information from the pages, meant for the IT savvy.

This project develops a high-accuracy XGBoost machine learning model to predict HDB resale prices in Singapore, identifying the key market drivers to empower real estate agents with data-driven pricing strategies.

Contains the code for my first machine learning project

A simple map showing some recent resale HDB prices

⚙️ Optimize AWS AI costs by automating resource management and reducing expenses, ensuring efficient use of cloud services with minimal effort.

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market value through real-time predictions.

Relationship between Singapore HDB Rental prices and GDP

Comprises and analyses rental information for private residential properties with rental contracts submitted to IRAS for Stamp Duty assessment within the last 60 months 🏘️🛠️🚧