My Projects

• mosaicGenerator App: Test the mosaic generator for yourself.
• Texture Classification App: Explore texture classification in action for wood, brick or stone.
• Common-Investor: This project scrapes the Parliament's public registry, extracts relevant data, and leverages OpenAI's API to generate investment portfolios based on risk, timespan and budget.
• CS5001_password_checker: This project generates a password or analyzes it to ensure it meets a minimum level of entropy.
• deloitte_hackathon: This project earned us 3rd place in the Deloitte hackathon 2025. We built a semantic search engine powered by a RAG model where Deloitte has control over the source of data. This framework enables quicker turnaround times for RFPs and discovery time for projects. It also enables greater traceability and accountability when talking to clients.
• mosaicGenerator: This project creates a mosaic by segmenting an input image into a grid of tiles and replacing each tile with the closest-matching image from a predefined database.
• ObjectDetection: This project enables real-time face detection using Haar cascades classifier. This project supports both local video stream processing via OpenCV and web-based streaming using Gradio.
• textureClassification: This project classifies wood, brick, and stone textures using GLCM and LBP for feature extraction and SVM, Random Forest, k-NN, and Logistic Regression for classification. SVM achieves 92.5% accuracy with GLCM. The model is implemented in Python, deployed via Gradio, and hosted on Hugging Face Spaces for interactive testing.
• website: This project is built with Next.js, Windi CSS and TypeScript, showcasing code refactoring, readability, and simplicity in a modern, responsive design.

Education

Master of Science in Computer Science 2023 - 2026

Bachelor of Technology in Technology Management 2016 - 2021

Contact Me

Email me at: pidoko1@gmail.com

Connect with me on LinkedIn: linkedin.com/in/pidoko

Check out my GitHub: github.com/pidoko