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konskyrt

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📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Machine-learning-for-a-solar-power-plant

🚀 This is the final project during my 3 month bootcamp studies at Propulsion Academy Zurich. It was a collaboration with Nispera AG Zurich.

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Predicting-Home-Prices

🏡This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price.

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Automatic-Property-Insertion-Civil-3D

Property Insertion Civil 3D

Selecting-best-location-for-a-retail-store

📈 Finding the best possible area for a new store to open in Zurich

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Point_Cloud_Semantic_Segmentation

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Konstantinos-Portfolio

This is my Portfolio repository

Automatic-Data-Exchange

Data Exchange tool (Civil 3D and Excel)

konskyrt/Concrete-Crack-Detection-Segmentation

konskyrt

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