EKF Multiprocessing/Multithreading with Python

Django is my focus and Im eager to conceptualize quality code to develop the best software and to support your customers and partners by troubleshooting any of their software issues. Im familiar with the whole stack that you have mentioned and clearly understand the requirements. I will do everything clear and fast, so you can rely on me. Lets continue our negotiations on the call to clarify all the details. What time fits you best? My regards @Denis

This is a health and fitness related Project. It is integrated with all health apps, devices, medical bluetooth devices, and pedometers etc.We have added Features, Fixed Bugs and improved performance. Technologies involved: 1 Ruby On Rails 2 Javascript/jQuery 3 Slim/Haml/ERB

A personal portfolio website built from the ground up by me using Python Django. Describes all my projects and also contains a blog by me https://www.ashwinpranesh.com/

Job Wave: A Job Portal for Maritime Professionals in Europe that connects employers in the maritime industry with job seekers in Europe. As a frontend developer, I was responsible for utilizing NextJS to create a user friendly and responsive platform. My role in the project also included implementing various functionalities like job posting, job application, and search functionality. The project was a huge success, with a growing user base and positive feedback from both employers and job seekers. I am proud to have been a part of the team that brought this innovative platform to life and I am excited to showcase it in my portfolio as a testament to my skills and abilities as a frontend developer. Link https://thejobwave.com/

LinkedIn GPT is an innovative tool that leverages Python, Langchain, and OpenAI's GPT model to boost your LinkedIn presence effortlessly. It goes beyond conventional automation by sourcing top trending papers from various platforms, summarizing them intelligently, and posting them on LinkedIn. The process includes content aggregation, storage, AI driven summary generation, and seamless LinkedIn posting. This tool empowers you to become a LinkedIn guru, providing you with an automated, evolving platform to share insightful content and engage your network effectively.

This project aimed to develop a football player tracking system using YOLOv5, an object detection model, and SORT, a multi object tracking algorithm. The system was designed to track and analyze the movement of individual players on the field during a football match. The YOLOv5 model was used to detect and locate players in each frame of the video. The model was trained on a dataset of football players and was fine tuned to achieve high accuracy in detecting players on the field. The SORT algorithm was then used to track the players over time. SORT is a Multi Object Tracking (MOT) algorithm that uses data association and motion models to predict the location of each player in the next frame. The system was implemented using Python and the OpenCV library, which is commonly used for computer vision tasks. The system was tested on footage of real football matches, and the performance was evaluated using metrics such as accuracy, precision, and recall. This system can be used for a wide range of applications, including analyzing player performance, tactical analysis, and video scouting. It can also be used in broadcasting, where it can provide real time statistics, and enhance the viewing experience of the audience.

We are a premier Website Development Agency Specializing, web solutions, responsive design, and seamless user experiences to elevate your online presence.