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01

#PeduliCOVID-19

2021
HTML
CSS
JavaScript
#PeduliCOVID-19

About This Project

Peduli COVID-19 is a website that contains information about COVID-19 (Corona Virus Disease 2019) global pandemic. Starting from the history of pandemics in the world, health information, health protocols to avoid the COVID-19 virus, preparations for the new normal and what people can do to stop the spread of the COVID-19 virus. This website is also responsive and can be accessed from desktop or android.
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07

InfiniteTalk: A place for Mentors and Mentee connect and grow!

A place for Mentors and Mentees connect and grow! This is a mini-forum for mentors and mentees from Infinite Learning to collaborate and connect. In this forum, mentors and mentees can make posts and comment on each other's posts to help or share information! This site is built with React + Vite, Tailwind CSS, and Flowbite React for the frontend. Global state management in this site uses Redux with React Query for database data management and Axios for API handling. The backend is built with Node.js and Express.js, with a security system implemented using BCryptJS and JSON Web Token (JWT). The database used in this system is MongoDB.

  • React
  • Tailwind CSS
  • MongoDB
  • Express.js
  • Node.js
  • Redux
2023
08

Simple AI Chat with Google Generative Language API (Gemini API)

Just a simple chatbot (without history) for asking anything to Google Gemini model (Gemini 1.5 Flash 002) with Google Generative Language API (Gemini API) from Google AI Studio. This site is protected by Vercel Security Checkpoint for security.

  • React
  • Tailwind CSS
  • Google Gemini API
2024
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