personal-portfolio
Personal web application built using Next.js. Dockerized and Hosted on Azure VM.
Collections of projects I've been working and worked on.
My attempt to apply UMAP (Uniform Manifold Approximation and Projection), a dimensionality reduction technique, to visualize and represent popular films scraped from Letterboxd in 2024. See more here.
A data visualization of music genres scraped from ENAO (Every Noise at Once) website, showcasing a wide array of music samples from various genres simultaneously. See more here.
Personal web application built using Next.js. Dockerized and Hosted on Azure VM.
Applying UMAP to visualize popular films from Letterboxd.
A web-based visualization tool that uses D3.js to showcase Spotify listening history by analyzing and categorizing favorite music genres.
A tool for scraping Every Noise at Once Spotify genres. Deployable with Docker and designed for Kubernetes clusters. Optionally supports storing data in a PostgreSQL database for persistent storage.
A program that can scrape Letterboxd lists from an input URL. The output CSV or JSON contains information about the film title, release year, director, cast, personal rating, average rating and a lot more.
An HTTP server designed to handle request streaming for a Graph Convolutional Network (GCN) machine learning algorithm. Deployable with Docker for easy setup and scalability.
A Web API that performs CRUD operations on a MongoDB database for the comment section of my personal website.
A multi-command Discord bot.
A Python web server that provides endpoints to interact with Spotify's Web API for the d3-spotify-genres project.
A note-taking web application built using Microservices. Allow user to create, edit, and manage their notes efficiently while ensuring smooth deployment and scaling with Kubernetes and Docker.
(Template) Nginx server as a reverse proxy.
Summarize large documents using Language Learning Models (LLMs).
Visualize high-dimensional pre-trained word embeddings in 2D using t-SNE.
Graph Convolutional Network (GCN) model running on an Azure Function.
User service.
Note service.
Frontend for GCN.
Platform for student to upload videos.
Collection of solutions to Leet Code problems.
An application server built using Express.js (demo).
Pattern recognition and image processing library for Tensorflow
Web application built for students to upload assignment videos.