1. Fake News Detector
A machine learning web application that detects fake news using NLP techniques and pre-trained models. Users can input news articles through a Flask web interface to receive predictions with confidence scores, sentiment analysis, and highlighted suspicious content. Built with Python, scikit-learn, and TF-IDF vectorization for real-time fake news detection.
2. Logic Gates App
The Logic Gate Simulator is an interactive drag-and-drop web application that allows users to create, connect, and simulate digital logic circuits. Users can add logic gates to a canvas, move them freely, and connect them with wires to visualize how logical operations work.
3. React Portfolio
Designed and developed a ReactJS portfolio with fancy 3D animations using Three.js for the background element.
4. Deskeando Project
An booking desk application project built using ReactJs, for booking a desk with specified seat and table on the different floors for Avaloq.
5. Quiz App Project
Quiz app designed for asking random questions with ability giving the final score and getting data from an API.
Hello there!
I'm Benjamin Mehrdad, an AI/ML programmer and researcher pursuing my Master's degree in Artificial Intelligence at London South Bank University (LSBU). My focus lies in Retrieval-Augmented Generation (RAG) architectures, machine learning, and real-world AI applications—especially in healthcare and scientific research. I enjoy bridging academic research with practical innovation, contributing to papers and open-source work that explore trustworthy AI systems. Currently based in London, I'm always open to meaningful collaborations that combine research with social impact.
Send me a message.