A showcase of projects I've built and contributed to.
Architectural style classification using MobileNetV2 with fine-tuning
Sentiment analysis of tiket.com reviews using SVM, RF, and BiLSTM
Image captioning with InceptionV3 + RNN/LSTM using greedy & beam search decoding
FFNN from scratch with experiments on activations, optimizers, init, RMSNorm, and autodiff vs sklearn baseline
An integrated hospital management system for real-time data and efficient patient services.
A Pascal-S compiler featuring a DFA-based lexer, recursive descent parser, and a robust semantic type checker.
A scratch-built ML project for student success prediction using Decision Tree, Logistic Regression, and SVM.
A Python local search tool for automated and efficient weekly class schedule optimization and generation.
An Android app that combines IRK concepts as a learning platform to help students understand the course.
A web app using string matching and Unicode normalization to detect gambling comments via the YouTube API.
An AI-powered mobile app providing expectant mothers with health advice, a 24/7 chatbot, and emergency alerts.
A desktop app for interactive 3D rotation visuals using Quaternions, Euler, and Tait-Bryan angles.
A desktop app using KMP, Boyer-Moore, Aho-Corasick, and Levenshtein for automated CV keyword matching.
A desktop app using UCS, GBFS, A*, and Beam Search to find the optimal move sequences for Rush Hour puzzles.
A web tool using BFS and DFS to find optimal Little Alchemy 2 combinations with animated recipe tree visuals.
A CLI tool using Quadtree methods to compress images via error metrics with GIF compression visualizations.
A desktop app using a brute-force algorithm to solve IQ Puzzler Pro with custom layouts and TXT exports.
A web app for sound and image retrieval using MIDI audio samples and album cover images to query datasets.
