Automated, explainable data cleaning for pandas and Polars, repair messy tabular data safely and see exactly what changed.
Disease detection system combines the power of artificial intelligence and machine learning provide a template to predict multiple disease detection of patients.
COVID-19 Statistics - a webapp that shows the statistics of coronavirus (COVID-19) cases by country name or by country code using api.
Project to implement the Optical Character Recognition technology to extract the invoice details from images of invoice receipts.
Django e-commerce payment & order API
An integrated end-to-end ML model with a website that suggests books to a user based on how other users have rated the books.
An enterprise-grade, serverless RAG pipeline transforming multi-page PDF documents into interactive, context-aware knowledge networks using modern LangChain (LCEL) architectures.
A deployed, budget full stack website in Python with Streamlit (Python Framework) and Firebase (API)'s Realtime Database. https://8kbtr2cyktbh4qn2doay5g.streamlit.app/ (Karaoke Singer Registration Streamlit (Python) web application) https://2bgope7myic8tuh3dy6vi4.streamlit.app/ (Song queue display Streamlit (Python) web application)
An AI-powered tool that instantly converts business cards into actionable Excel data using EasyOCR and Llama 3.1. Features a sleek Streamlit UI, secure user management, and bulk processing capabilities.
AI-powered procedural T-shirt design generator using NumPy, OpenCV, and Pillow. Creates unique abstract art with customizable shapes, colors, gradients, and text overlays.
Multi-document RAG chatbot powered by Groq + Cohere. Ask questions about Stefan — answered from his CV and project descriptions with cited sources and highlighted citations.
This is AI-powered tool to help predict ovarian cyst behavior and recommended management plan
My group's submission for the SUTD Freshmore Asian Cross-curricular Trip (FACT) to Petra Christian University (PCU) in Surabaya, Indonesia as part of the 10.020 Data Driven World module's hackathon. Achieved 1st Place (out of 10 teams).
An interactive end-to-end data science workspace for predicting e-commerce customer churn. Features machine learning metrics dashboarding, real-time risk sandbox analytics, and robust batch CSV data file ingestion protected by automated Pydantic schema validation. Built with Python, Streamlit, Scikit-Learn, and Pydantic.
A learning assistant that takes a goal stated in plain language and returns a **prerequisite-ordered roadmap** of courses, projects, and assessments — with an explanation for every item, a dashboard for progress, and adaptation from learner feedback.
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