Portfolio

Dog Breed Classifier API

An API for dog breeds classification. The API has been developed using Django Framework, while the classifier was created based on transfer learning technique using the Google Inception V3 architecture. I deployed this project on Heroku. It is available via this link. More details can be found on the repository Link.


Awesome Snake AI

An implementation of various algorithms and techniques (graph theory, Machine Learning...) to buid an AI that plays Snake Game.


Signature Extractor

I contributed to this repository, originally made by Ahmet Ozlu, to design and implement a super lightweight algorithm for "overlapped handwritten signature extraction from scanned documents" using OpenCV and scikit-image on python.


ML OCR

An implementation of an OCR using Deep Learning to recognizing sequence-like words in images. The model consists of a CNN stage extracting features which are fed to an RNN stage (LSTM) and a CTC loss.


Object Detection Using TensorFlow 2

Object Detection examples with Jupyter notebooks using TensroFlow 2 and Darknet.


Urban Sounds Classifier

I performed the tasks of building and training an urban sounds classificatier using Tensorflow 2.


Video Face Recognition

This project represents a simple app that aims to recognize faces from a video streaming. It has been tested on a PC running on Ubuntu and a Raspberry Pi running on Raspbian using Python 3.6.