Osman ASLAN's Projects
A Python library for interfacing with the ADXL355 accelerometer via SPI. This package provides easy access to the accelerometer's functionalities, enabling the retrieval and manipulation of acceleration data in various units.
Autonomous Vehicle Control System using A* pathfinding, sensor data integration, and YOLO object detection in AirSim.
This Python script generates various types of Bitcoin addresses, including non-compressed, compressed, SegWit, and non-compressed SegWit addresses. It demonstrates the use of cryptographic techniques in Bitcoin address generation using the elliptic curve cryptography library.
A Windows Forms application for generating various Bitcoin address types (Legacy, Segwit, SegwitP2SH, Taproot) from a passphrase. Provides both compressed and uncompressed keys and addresses.
This repository contains an Android application for live streaming camera footage via RTSP and a Python script for processing the stream using OpenCV.
This is a sample project demonstrating how to use OpenCV and CUDA in C++ for detecting people in drone footage with YOLO. The project aims to be simple and understandable for those who want to learn how to use OpenCV and CUDA in C++.
A comprehensive project that develops a personalized product recommendation system for an e-commerce platform using machine learning techniques. The project includes data preprocessing, model training, evaluation, and deployment using Docker and cloud services.
A Machine Learning Project for Predicting Earthquake Magnitudes and Occurrences example.
A practice project for predicting building energy consumption using machine learning models. The project involves data preparation, model training, evaluation, Docker containerization, and Kubernetes deployment. It also includes a CI/CD pipeline setup using GitHub Actions.
This repository contains a comprehensive project for real-time earthquake detection and magnitude estimation using Vision Transformer (ViT). The project processes 3-axis accelerometer data from multiple devices, providing accurate P-wave detection and earthquake magnitude estimation in real-time.
Real Time Earthquake Detection Sample wtih AI
IoT Cloud Monitoring System - A web application for monitoring and managing IoT devices via a cloud platform. Features include device registration, real-time data monitoring, alerts, data analysis, and support for DevOps tools like Terraform and GitHub Actions for CI/CD.
Pollard's kangaroo for SECPK1
LoadTestCyrex is a comprehensive performance testing tool for gRPC services. It leverages Locust for load testing and includes scripts for various client operations such as authentication, vacancy creation, and user management. The project is designed to be easily deployable using Docker, ensuring consistent test environments.
This repository is designed to help with quick setup and troubleshooting of MQTT
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
This repository contains a project that uses YOLO for detecting Personal Protective Equipment (PPE) in images and videos. The project includes pre-trained models, scripts for image and video detection, and examples for testing.
This is a simple quiz application built with Flask and MySQL.
This project contains a simple example application that demonstrates how to work with the RabbitMQ messaging system using Python. The project includes producer and consumer scripts to help you understand the basic concepts of RabbitMQ.
Smart Structure Guardian is a project that simulates sensor data for a bridge structure and uses machine learning to detect anomalies. It includes data simulation, preprocessing, model training, anomaly detection, and visualization to monitor the structural health of bridges.
Smart Warehouse Management System - Optimizes inventory and logistics in large-scale warehouses using Node.js, Express.js, MongoDB, and BigQuery. Features user authentication, inventory management, order processing, real-time tracking, and data analysis.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A VSCode themed developer portfolio built using Next.js