Ever wished you could chat with your documents? I built RAGify — a tool that transforms static documents into an interactive Q&A system using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
I built an AI-powered Movie Recommendation Bot that uses GPT-2 and MongoDB vector search to answer movie queries in natural language.
I turned PyGitGraph into a habit tracker — using GitHub Issues to log habits and GraphQL to extract the data for analysis.
With Germany hosting the UEFA Euro Championship, I built an interactive data visualization app to explore the tournament's history — match performances, tournament statistics, and penalty card data.
I built an application that detects and classifies emotions in text inputs using a fine-tuned NLP model (1) — and you can try it live at the bottom of this page.
I built PyGitGraph, an open-source tool that extracts full details of thousands of GitHub Issues using Python and GraphQL — and exports them to CSV or JSON for analysis.
Ever ordered pizza online? Imagine someone using the address form to secretly tell the website's database to reveal everyone's credit card details. That's SQL Injection — attackers sneaking malicious code through input forms to break into websites and databases.
Ever checked your credit card statement and spotted a transaction you didn't make? That's anomaly detection in action — and understanding how it works is more practical than you'd think.