Write literature review on the Drowsiness detection and identify new approach with the code

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hi,i will help you with writing literature review on Drowsiness detection and identifying a new approach with the code. I have a BSc degree in computer science. I have written many tasks similar to this please expect an excellent paper within the deadline, thank you.

As a data analyst, you understand the importance of writing literature reviews and identifying new approaches to drowsiness detection. With your expertise in data science and machine learning, you are confident that you can deliver the required materials for the project. Specifically, you will be responsible for writing 14 page literature review with references (better using papers with code websites), while also identifying novel approaches to drowsiness detection that can be added into your existing code. You are excited to work on this project because it has the potential to revolutionize the field of sleep research by providing a more accurate means of detecting drowsiness than existing methods. By combining YOLO model and face landmark detection with lips detection, you have created an algorithm that can accurately identify signs of drowsiness even when someone is sleeping soundly. This is an important factor when it comes to determining fatigue levels in the workplace since it allows for better workplace management strategies.

Hi! I am Sameer Khan, a fresh Computer Science graduate. As I read your job description, it instantly grabbed my attention and aligns perfectly with my experience. I am a proficient Python developer working mainly in the AI/ML domain. I can help you with this task as I have previous experience of not just writing a literature review of 'Drowsiness Detection System' but I have also implemented this. As my final year project, I implemented a 'Drowsiness Detection System' with a proper literature review under the supervision of my Ph.D. supervisor, which she published later. We discussed 7 different research paper implementations in our literature review and then proposed our approach and why is it better. We used ResNet-50 added more layers to it and trained it on Video data for drowsiness detection (that detects it a person is drowsy or not). I have a clear understanding of this and can help you with it. Not just a literature review but also the code I implemented. Due to all this deep understanding and experience, I find myself best candidate for this job. Feel free to message me for further discussions. Regards, Sameer

Necessary Skills: Literature Review: As an AI and computer vision specialist, I have a strong skill set in conducting thorough literature reviews. This involves comprehensive research, summarizing key findings, and critically evaluating the strengths and weaknesses of existing drowsiness detection methods. Academic Writing: I possess exceptional academic writing skills, allowing me to present the literature review in a structured and coherent manner. I will ensure that the document adheres to academic standards and provides clear and concise explanations. Research Proficiency: I am well-versed in research techniques, including leveraging resources like "Papers with Code" to access the latest academic publications and code implementations. This will facilitate the identification of novel approaches for integration. Deliverables: I will produce a 14-page literature review on drowsiness detection that includes detailed summaries, critical analysis, and references from reputable sources, preferably from "Papers with Code." The document will be structured and well-referenced to ensure high-quality content.

I propose conducting a thorough literature review on drowsiness detection and integrating novel approaches into our existing model. With a strong background in machine learning and computer vision, I'm well-equipped for this project. Literature Review (14 pages): We'll focus on recent advancements and applications in drowsiness detection, utilizing 'Papers with Code' for up-to-date research. Novel Approach Integration: We'll identify a promising drowsiness detection approach with available code and integrate it into our model for enhanced performance. Expertise and Record: With a background in machine learning and 2 years of computer vision experience, I've successfully completed projects in image recognition, object detection, and sentiment analysis. I'm currently involved in a DRDO project on swarm drone detection, using Yolo v-8, aligning with this effort. Methodology: Literature Review: We'll meticulously analyze 'Papers with Code,' extracting key trends and methodologies, especially in eye detection, face landmarks, and lip detection. Novel Approach Integration: We'll select a promising approach from the literature review with accessible code, integrating it into our model following best practices. I'm eager to contribute to this project. Regards, Prabal Singh

Are you seeking a seasoned professional for your drowsiness detection project? Look no further! With extensive experience in building drowsiness detection models using Yolo and OpenCV, I am the perfect fit for your project. Here's what I can offer: Comprehensive Literature Review: Leveraging my prior experience and expertise, I will meticulously research and write a 14-page literature review on drowsiness detection. This review will be meticulously sourced from reputable academic papers, with a focus on references from the "Papers with Code" website. Rest assured, my previous projects involved similar in-depth research and analysis. Incorporating Novel Approaches: As part of this review, I will identify novel approaches in drowsiness detection and provide code implementations sourced from "Papers with Code." These novel approaches will be seamlessly integrated into your existing codebase, enhancing the functionality of your model. By choosing me for this project, you are selecting a proven expert with a track record in delivering high-quality work. I'm committed to meeting your expectations and ensuring the success of your drowsiness detection model. Let's make your project a standout success – contact me today!