Full-Text Search System to stream, collect, clean, store and filter data collected from different sources using Docker, Kafka, Elasticsearch, Kibana, Java, Spring Boot, Spring Kafka, Spring Data Elasticsearch, Twitter HBC, Jsoup and Angular

interviews

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javaobjectorientedprogramming

Learn basics of object oriented programming with Java

learningapi

Machine Learning foundation on top of .NET Core

learningresources

A collection of learning resources for Software Engineering students

python-scripts

because i'm tired of gists

react

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supply-chain-management-blockchain-usecase

trafficsituationrecognition

The solution achieved in this project is implemented with python with OpenCV video processing system and TensorFlow machine learning library to recognize traffic participants and traffic situation. Vehicle classification and detection are very important for traffic management and planning. In this project, we present Computer Vision-based system for traffic recognition and vehicle detection. Images from the video frames are used to detect and identify traffic participants, A pre-trained model YOLO is used to detect and classify moving vehicles, After the detection of traffic participants, the traffic situation is predicted. For traffic prediction, we have created and trained a Convolution neural network with three classes Heavy Traffic, Medium Traffic and No Traffic. Experimental results are demonstrated from the real-time street-view video taken from a single camera.

tutorials

The "REST With Spring" Course:

zerotoblockchain

Tutorial for Zero to Blockchain series

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