Digitalisasi KIA

Machine Learning project that can classified maternal health risk for pregnant women. Built for my capstone project at Coding Camp by DBS Foundation

Tensorflow.jsFastAPIDeep Learning

Short-Video Food Recommender System with Neural Collaborative Filtering

AI-powered food recommender that curates personalized short-video feeds and lets users order directly from what they see. Built as part of our submission for the Compfest Competition.

Recommender SystemMachine LearningNeural Collaborative Filtering

Bike Sharing Analysis Dashboard

A data analysis and visualization project for bike-sharing usage, built with Python, Pandas, Seaborn, and Streamlit. This interactive dashboard presents bike rental trends based on various factors such as months, humidity, wind speed, and rental hours.

StreamlitAnalysisMatplotlib

Traveloka Sentiment Analysis

This project performs sentiment analysis on user reviews of the Traveloka app collected from the Google Play Store. The goal is to classify reviews into positive, negative, or neutral sentiments using a combination of machine learning and deep learning methods.

TF-IDFSVMNLP

Blood Cell Image Classification

This project develops an automated model to classify blood cell subtypes from image data. The dataset includes original and augmented blood cell images with labels and metadata.

TensorflowKerasCNN

Movie Recommendation System

Built a movie recommendation system that helps users discover films they’ll love by learning from their viewing history and preferences.

TF-IDFContent-based FilteringCollaborative Filtering