Good and detailed work.
0
0
Budget: 13000 UAH Deadline: 10 days
Hello! Interesting project. I have already worked with biomedical data and deep learning. I can implement an ECG classification model (normal/arrhythmia) based on MIT-BIH: I will prepare the data, train the model (PyTorch or TensorFlow — your choice), and deploy a REST API on FastAPI for processing new signals. I am ready to review the technical specifications and get started.
14
3
Budget: 10000 UAH Deadline: 3 days
Good day, very interesting task, I want to take on its implementation. I am ready to complete it quickly and efficiently. Write for clarification. I will be happy to collaborate with you.
4
0
Budget: 10000 UAH Deadline: 10 days
Good day!
I am sincerely interested in your project, as the topic of automatic anomaly detection in ECG signals is truly close to me. The combination of medicine and artificial intelligence is a field I am deeply interested in, and I would be happy to contribute to the development of such a project.
I have all the necessary qualifications and tools to implement a full-fledged system: from preprocessing signals from the MIT-BIH Arrhythmia Database to building and training a model for classifying "normal / arrhythmia" with subsequent deployment of a REST API for processing new signals.
My goal is not just to complete the task, but to guarantee a reliable and tested result that can be effectively used and scaled. I am also open to further technical support and participation in the development of the system.
I would be glad to have the opportunity to join and discuss the details. Thank you!
Sincerely,
Oleg
9
1
Budget: 10100 UAH Deadline: 3 days
Good day! I have carefully studied your project and am ready to start its implementation. Let's discuss the details for the best execution.
29
1
Budget: 20000 UAH Deadline: 21 days
Good day!
I have practical experience in developing solutions based on machine and deep learning using Python, particularly in biomedical signal processing. I am ready to implement a prototype system for detecting arrhythmias using MIT-BIH data: from the signal preprocessing stage, building and training the model (CNN, LSTM, or hybrid architectures), to deploying a REST API for integration with external services.
I can start working as early as tomorrow. If part of the functionality is already implemented, I would appreciate the code for a more accurate assessment of the scope and timelines.
I guarantee quality execution, a neat code structure, and strict adherence to requirements.
7
0
Budget: 10000 UAH Deadline: 1 day
Good day,
We will do everything clearly and qualitatively,
See the portfolio for a better understanding of my experience.
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