Neuro-Detect: DL Disease Diagnostics -- 2

Greetings, Thank you for considering my application for this project. As an AI Engineer and Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

My previous tasks include cancer tumor detection, drug use detection and early signs of alopecia. If you consider this bid, you can be rest assured that I will find tons of images from the internet and work on a robust algorithm that accurately diagnose Alzeimer's and Parkinson's accurately. To be delivered in 6 days or less Regards, Tonny, Software engineer

Specializing in data science, deep learning, and statistical analysis, I am the ideal candidate to develop the Neuro-Detect algorithms that you need. My strong background in Python programming combined with my vast experience in data collection, cleaning, analysis and database management make me the perfect fit for your project. The successful diagnosis of neurodegenerative diseases is heavily reliant on accurate and intelligent analysis of historical patient data. My deep understanding of data mining and healthcare informatics equips me to effectively analyze this crucial information and provide relevant insights that could potentially lead to earlier diagnoses for patients. Over the years, I have built a solid reputation for not only developing efficient algorithms but also delivering comprehensive solutions that drive informed decision-making. This project aligns perfectly with my range of skills, focusing on precision medicine and earlier detection - which has been the cornerstone of my career pursuits. Let's bring actual value to patients suffering from these diseases by creating a practical and valuable tool together!

I can develop deep learning algorithms with the primary goal of accurately diagnosing Parkinson's and Alzheimer's diseases. I am a freelancer having 7 years of experience in Python Language Development. I'm having the following skills in python: ◈ Object-Oriented Programming (OOP) in python ◈ R programming ◈ Jupyter notebook and Google Colab ◈ Data structures and Algorithms ◈ Web development with frameworks such as Django, Flask, and Streamlit and others ◈ Machine learning, deep learning, and Artificial Intelligence ◈ Database integration, including SQL and NoSQL ◈ Data analysis and visualizations ◈ Text processing and natural language processing, Tokenization ◈ Debugging and troubleshooting ◈ Functional programming ◈ Tkinter I hope I'm a good candidate for your project. I will deliver your project on time with quality assurance at affordable price. Please message me so that we can discuss more about your project.

My expertise in the development and implementation of advanced machine learning algorithms, demonstrated prominently in the "Gait Revive" project, uniquely qualifies me for this proposal. Serving as the primary point of contact and coordinator, I successfully oversaw the execution of this innovative initiative, leveraging advanced Machine Learning algorithms for precise gait analysis. This experience directly aligns with the project's goals, emphasizing the need for tailored algorithms to accurately diagnose Parkinson's and Alzheimer's diseases. My in-depth involvement in the "Gait Revive" project has honed my skills in algorithm development and data analysis, providing a solid foundation to contribute effectively to the development of RestNet and DenseNet algorithms for disease detection with a paramount focus on accuracy.

Deep Learning Expertise: My experience encompasses Python, Java, Machine Learning, and NLP, including proven experience with ResNet and DenseNet frameworks utilized in my "Analysis of common diseases in data of Doctor's prescription" project. Healthcare Informatics: My internship at GSFC involved analyzing plant data using Machine Learning and MySQL, demonstrating my ability to process and analyze large datasets in a relevant context. Disease Diagnosis Focus: My "COVID-19 TWEETS GEO AND SENTIMENTAL ANALYSIS AND CLASSIFICATION" project showcased my ability to analyze health-related data (tweets) using NLP, demonstrating my understanding of data-driven approaches in healthcare. Problem-Solving & Precision: Projects like "Automated prescription review system" (75% efficiency increase) and "Two-Way Communication portal for Challenged individuals" (95% accuracy) highlight my problem-solving skills and focus on achieving high accuracy outcomes. Additional Value I Bring: Learning Agility: I'm a fast learner with a strong work ethic, eager to contribute to cutting-edge deep learning advancements in healthcare. Communication & Collaboration: My experience working in cross-functional teams (e.g., Acko) demonstrates my ability to communicate effectively and collaborate towards shared goals.

I am a biomedical engineering master’s student who has 3 previous projects that involve medical images and deep learning. Two of the projects involved the use of ResNet either as a standalone network or as a part of a bigger network as an encoder for a segmentation task. I am very interested in scientific research in the biomedical field, and I am willing to learn new relative things that could be useful for the project.