Online machine learning based calssification of signals-CANOE

I am an Engineer and have completed machine learning projects that require signal processing. I have specifically developed algorithms to detect noise from signals (biological signals in my case) and have a good experience in MATLAB. I would like to discuss details. Please review my past work for reference.

Hi there... I am interested in your project. I am Python and Machine Learning specialist, certified by Freelancer. I fully understand your requirements and I am sure I can help you. Please, let's discuss details by chat. Thank you.

Hello, dear! Welcome to visit my profile. I just checked your project description in detail. My top skills are Mathematics, Algorithm, Machine Learning, Control system, SIMULINK, Computer Vision, Digital Image Processing and software engineering. I can provide you the best result in a very short time. We can discuss in more detail via chatting box. Regards...

My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert).

First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company. Second:- Word Predictor --> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly. Third:- Comment Checker --> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority. Speech Recognisation Train the database using deep learning, doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.

I will deploy Matlab NN for this project since it is basically a classification problem. Since the fault noise is unique from normal, NN can be trained to recognize it whenever such occurs.