AI Simplified - Decoding the Jargon
Five core AI/ML concepts explained in plain language — essential for anyone developing or working with Generative AI tools like ChatGPT, Gemini, etc.
Index
RAGify - Chat with Your Documents Using AI
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).
Movie Recommendation Bot
I built an AI-powered Movie Recommendation Bot that uses GPT-2 and MongoDB vector search to answer movie queries in natural language.
Habit Tracker with PyGitGraph
I turned PyGitGraph into a habit tracker — using GitHub Issues to log habits and GraphQL to extract the data for analysis.
UEFA Euro Data 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.
Emotion Detection App
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.
PyGitGraph
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.
A Practical Guide to SQL Injection
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.
A Practical Guide to Anomaly Detection
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.