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16

Infinite Learning LMS v2

2026
Next.js
React
Tailwind CSS
TypeScript
NestJS
TypeORM
Supabase
PostgreSQL
Cloudflare R2
Infinite Learning LMS v2 screenshot 1
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About This Project

Enterprise-grade multi-role Learning Management System (LMS) designed to streamline digital class delivery, syllabus management, student attendance tracking, interactive assignment submissions, and AI-assisted grading workflows. Developed using AI-Driven Development with Google Antigravity, built on a modern decoupled architecture featuring Next.js 16 (Turbopack) and React 19 on the frontend, paired with a high-performance NestJS 11 and TypeORM backend powered by Supabase PostgreSQL database and Cloudflare R2 storage.
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10

Rainfall Prediction with LSTM + Attention

This project explores the use of LSTM (Long Short-Term Memory) and LSTM with an Attention Layer to predict daily rainfall rates in Batam City. The primary goal is to assess the performance difference between the two models when the Attention Layer is implemented. The study leverages the BMKG DataOnline climate dataset and aims to improve prediction accuracy, especially in the context of dynamic and extreme weather changes.

  • Python
  • Jupyter
  • TensorFlow
  • Keras
  • Scikit-learn
  • Flask
2024
04

Desa Wisata Pengudang Website

Web for Pengudang Tourism Village. Focusing on how tourist can know more about Pengudang Village. The site is made with WordPress and a project for KOSABANGSA back in 2022 for promoting Pengudang Tourism Village.

  • WordPress
2022
09

AI Real-Time Audio Translation

Developing a generative AI project using AMD PC AI technologies for the international AMD Pervasive AI Developer Contest with Hackster, in collaboration with a team of IBM Academy: Advance AI mentors from Infinite Learning. Open-Source pre-trained models used in this projects are : OpenAI Whisper as Automatic Speech Recognition (ASR) Pre-trained Model, MarianMT as Machine Translation (MT) Pre-trained Model, tacotron2-DDC as Text to Speech (TTS) Pre-trained Model, and HiFi-GAN as vocoder Model. Device used in this development is: Minisforum Venus UM790 Pro with AMD Ryzen™ 9 with Ryzen 9 7940HS as a hardware sponsorship.

  • React
  • Tailwind CSS
  • Flask
  • PyTorch
2024