AI-Powered Lung Cancer Diagnostic System

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@vishal1145

Your ML model will fail FDA validation if it cannot explain why it flagged a patient as high-risk. Healthcare AI isn't just about accuracy scores - it's about interpretability, bias detection, and handling class imbalance when only 2-5% of screening cases are positive. Before I recommend an architecture, I need clarity on two things: What's your ground truth data source? If you're using public datasets like LIDC-IDRI or Kaggle lung cancer CSVs, those have known labeling inconsistencies that will tank your precision in clinical settings. What's your false negative tolerance? In cancer screening, a 95% accuracy model that misses 1 in 20 cases isn't deployable. We need sensitivity above 98%, which means addressing extreme class imbalance through SMOTE, focal loss, or ensemble methods. Here's the technical approach: - PYTHON + SCIKIT-LEARN: Build an ensemble model (Random Forest + XGBoost) with SHAP values for explainability so clinicians understand feature importance per prediction. - PANDAS + NUMPY: Engineer clinical features like smoking pack-years, nodule growth rates, and family history interactions that outperform raw lab values. - MATPLOTLIB + SEABORN: Generate ROC curves, confusion matrices, and calibration plots that meet clinical publication standards for reproducibility. - IMBALANCED-LEARN: Apply SMOTE-Tomek to balance your dataset without synthetic overfitting, critical when positive cases are under 5%. - CROSS-VALIDATION: Implement stratified k-fold with patient-level splits to prevent data leakage from multiple scans of the same individual. I've built 3 FDA-reviewed diagnostic models for radiology and pathology clients. Quick question - is this for academic publication or actual clinical deployment? That changes the validation strategy entirely. Let's discuss your data pipeline and regulatory requirements before writing code.

@ashinnd84

Hello there, we are a senior team of Automation engineers, Full Stack Web and Mobile App Developers and we can do this project in no time. Thanks Ashish Kumar.

@chiragardeshna

Hi there, Strong alignment with this requirement comes from experience building machine learning healthcare projects, predictive analytics systems, AI workflows, and academic-ready implementations with clean documentation and scalable architecture. Clear understanding of the goal to deliver a lung cancer prediction system using machine learning techniques with preprocessing, EDA, model training, evaluation, visualization, and user-friendly project structure suitable for academic and healthcare AI use cases. Hands-on expertise with Python, Scikit-learn, Pandas, NumPy, Matplotlib, Jupyter Notebook, Flask integration, ML model optimization, reporting systems, and deployment-ready healthcare analytics workflows. The implementation can include complete source code, trained models, documentation, PPT presentation, execution guide, optional web deployment, GUI integration, and future deep learning enhancements with clean and maintainable code structure. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@redspector

Deploying AI/ML requires rigorous data handling and model optimization. I will implement a production-ready solution for 'AI-Powered Lung Cancer Diagnostic System'. I have reviewed your requirement carefully: "Lung Cancer Detection Using Machine Learning Project Overview I have developed a Machine Learning based Lung Cancer D...". I know exactly what needs to be done. I will architect a seamless, highly optimized solution using Python, Matlab and Mathematica, Machine Learning (ML), ensuring it works flawlessly from day one. Given the scope, I will structure this professionally with clear milestones, ensuring high-quality delivery at every phase without delays. Best regards, Abdullah Z Freelancer: redspector

@mahads31

With a blend of robust software development and in-depth Machine Learning (ML) knowledge, I'm equipped with the right set of skills to bring your AI-powered Lung Cancer Diagnostic System project to life. My specialization in ML using Python will allow me to seamlessly execute tasks such as data preprocessing and cleaning, EDA, ML model training and testing, accuracy evaluation, visualization graphs and reports. Additionally, my proficiency in Scikit-learn, Pandas, NumPy, Matplotlib and the Jupyter Notebook ensures an efficient project execution. Having been in the industry for quite some time now, I understand how crucial projects like these are. Your project particularly excites me because of its significance in healthcare AI. For every task that I undertake, I strive for two things – cutting-edge precision and user-friendly design. I assure you of a clean, well-commented code that would be beginner-friendly too. Furthermore, by choosing me for this project not only will you be getting the exact specifications mentioned earlier but also a lot more. I am willing to go beyond ordinary by offering extras such as web application deployment and GUI integration which can significantly enhance the final system.

@mussaibb7

I can help you deliver AI-Powered Lung Cancer Diagnostic System with a practical, production-focused approach. Leveraging my experience with Machine Learning (ML) and automation, I'll utilize Python, NumPy, and Data Visualization tools to develop a reliable diagnostic system. With a proven track record in AI projects like the Arabic Legal AI Retrieval System, I'm confident in delivering a high-quality solution. Do you already have sample data or should I help define the input format first?

@affanq3

Hi, Creating a Machine Learning-based system for lung cancer prediction involves several crucial steps, particularly around data preprocessing and model evaluation. One key insight here is the importance of handling missing or inconsistent data in the preprocessing phase, as this can significantly impact the accuracy of predictions. I've worked on similar projects where I focused on the cleaning and normalization of medical datasets, ensuring models were trained on high-quality data. In those cases, I implemented robust validation techniques that not only improved model accuracy but also aided in generating clear and informative visualization reports. To approach this project, I would start with a thorough exploratory data analysis (EDA) to identify patterns and potential issues within the dataset. Following that, I would prioritize model selection based on the characteristics of the data and the specific accuracy goals outlined. Throughout the project, I would ensure detailed documentation and provide a user-friendly installation guide to facilitate easy deployment. This methodical approach helps in delivering a well-rounded solution that meets your requirements effectively. Thank you, Affan Qureshi

@viplove0114

Hi there, I am interested in this project you mentioned. I have experience with medical imaging datasets and get insights and results from them, like I have developed a pneumonia detection web app from medical chest x-ray's with great accuracy and recall. And also worked on human body cell-segmentation, where I draw segmentations around different cells. So, For lung cancer detection I can detect something suspicious and if any abnormality detected then i can use segmentation for that area.

@sagarc30

Hello, I am a Statistics graduate with strong knowledge in Machine Learning, data analysis, and healthcare research projects using Python. I can help develop a complete Lung Cancer Detection system with proper data preprocessing, exploratory data analysis, model training, testing, accuracy evaluation, and visualization. I have experience working with Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib, along with statistical interpretation of medical datasets. I will provide clean and well-commented code, trained ML models, documentation/report, PPT presentation, and execution guidance suitable for academic or research purposes. My focus is on delivering an accurate, user-friendly, and academically strong project within the given timeline, along with customization and support if required. Thank you.

@mitra36

As a seasoned problem solver committed to delivering tangible results in the realm of data and healthcare, I am confident in my ability to bring your project to fruition. Boasting expertise in Python, Scikit-Learn, and Pandas, I have not only developed Machine Learning models but also deployed them in real-world scenarios. My work not only delivers functionality but also has clean code that is beginner-friendly and easy to understand – crucial for use with such intricate datasets as we'd handle for your lung cancer detection system. Moreover, my prior experience includes building AI/ML solutions for the healthcare industry, which aligns perfectly with your project's objectives. I have dealt extensively with data preprocessing and cleaning, EDA, model training/testing, accuracy evaluation+prediction systems – all as outlined in your features list. My strong command over NumPy and Matplotlib enables me to create comprehensive yet visually intuitive visualizations and reports that prove essential for conveying complex findings succinctly.

@ayeshaa0471

I am a strong fit for this role because I have hands-on experience working with Python for data cleaning, analysis, and problem-solving, along with libraries like Pandas and NumPy for handling datasets efficiently. My background in data analysis includes cleaning datasets, extracting insights, and presenting findings through data visualization techniques. I am also familiar with analytical and computational tools like MATLAB and Mathematica, which strengthen my ability to work on mathematical modeling, simulations, and technical computations. My understanding of machine learning concepts allows me to approach data-driven problems with predictive and analytical thinking. Additionally, knowledge of Hadoop gives me exposure to handling large-scale datasets and understanding big data environments. Combined with my problem-solving mindset, attention to detail, and ability to quickly learn new technologies, I can contribute effectively to data-focused and analytical projects.

@Anika1802

As a seasoned developer with over five years in the field, leveraging numerous tech stacks and facilitating projects of diverse verticals, I am the best pick to actualize your AI-powered Lung Cancer Diagnostic System. Building on my expertise in AI, Machine Learning, and healthcare IT solutions, I have already developed a model like this enhancing Medic AI solutions for hospitals in Canada. Not only do I guarantee a comprehensive AI-Lung Cancer detection system but also provide you with an accurate, preprocessed dataset for future referencing. I'll create an all-round deliverable ranging from complete source code, trained ML model to installation guide & execution documentation. .Blending elegance into technology is my strength which means an easy-to-understand code structure and excellent project support in vocabulary that accommodates all users, including beginners foreign to this tech domain. When you work with me there's always something extra, whether it's related to quality or service; and pricing/pricing flexibility tailored to your specific needs is another testament of that. Let's initiate conversations around your distinct requirements enabling us on a higher scale of customization that will give you exactly what your project demands. So go ahead hire me and let's build this groundbreaking solution together!

@vilasb5

I have practical experience in Machine Learning, Python, data analysis, and AI-based projects. I focus on writing clean, understandable, and well-documented code that is suitable for academic as well as real-world use. I can also provide additional support such as PPT preparation, project explanation, and customization according to requirements. My goal is to deliver quality work on time with proper communication and support.

@iattechnologies

This project is developed with practical industry experience gained from working at IAT Technologies, where I have been building real-time machine learning solutions for the past 3 years. The Lung Cancer Detection system is designed using a complete end-to-end ML pipeline, including data preprocessing, feature engineering, model training, and evaluation to ensure reliable and accurate predictions. The solution is scalable, well-structured, and suitable for academic, research, and real-world healthcare applications. In addition to project delivery, I provide full support after completion, including setup assistance, code explanation, customization, and guidance for further enhancements such as deployment or performance improvements

@waqarqureshi1

Re: Features * Data preprocessing and cleaning — I have extensive experience in data preprocessing and cleaning, particularly through my work on various projects involving Python, Django, and FastAPI. While I have not specifically worked on a lung cancer diagnostic system, I have managed data migra Hi there! I noticed you're looking for expertise in Python and machine learning for your AI-powered lung cancer diagnostic system. I have a solid background in building data-driven applications, particularly in my recent project, the **Institute Digital Transformation System**, where I led the migration to a digital platform, leveraging Python and data visualization tools to enhance reporting and lead capture for over 500 students. For your project, I would implement machine learning algorithms using libraries like NumPy and Pandas to analyze and visualize lung cancer data effectively. I plan to create a robust diagnostic model that can provide accurate predictions based on the dataset you provide. I can dedicate around 15 hours a week to this project, ensuring timely progress. Given the scope, I would propose a budget of ₹35,000 INR. If that fits within your plans, let’s discuss how we can move forward!

@akshatt69

Hello, I have experience working with Deep Learning and Computer Vision projects, including medical image classification and detection tasks using TensorFlow/Keras and PyTorch. I understand the importance of accuracy and reliability in a Lung Cancer Detection system, especially when working with CT scan or X-ray datasets. For this project, I can help with: - Data preprocessing and augmentation - Building and training CNN/Transfer Learning models - Model optimization and overfitting reduction - Evaluation using accuracy, precision, recall, F1-score, confusion matrix, etc. - GPU-based training for faster experimentation - Clean and well-structured Python code I have worked on image classification and detection models before and I am comfortable using architectures such as ResNet, EfficientNet, MobileNet, and YOLO depending on the project requirements. I can also provide: - Training notebook/scripts - Model performance analysis - Documentation and guidance for running the model - Continuous communication and updates during development My focus is not only on achieving good accuracy but also creating a practical and optimized solution. I am confident I can deliver quality work within the required timeline. Looking forward to discussing the dataset, requirements, and expected outcomes with you. Thank you.

@sanaYounas53

I offer a complete Machine Learning solution for lung cancer detection, including data preprocessing, feature selection, and model training using efficient algorithms. I ensure accurate prediction results with proper evaluation and optimization techniques. I can also provide: Clean and well-structured Python code Model performance analysis and visualization Customization based on your dataset or requirements Guidance for deployment or further improvements I focus on delivering a reliable, scalable, and easy-to-understand solution for academic, research, or healthcare applications.

@soumiks11

Hello, I am an experienced Python and Machine Learning developer with strong expertise in AI projects and predictive analytics. I can help you develop and deliver a complete Lung Cancer Detection System using Machine Learning with clean code, proper documentation, and high-quality project structure suitable for research, or practical implementation purposes. What I can provide: • Data preprocessing and feature engineering • Exploratory Data Analysis (EDA) with visualization • ML model training, testing, and performance evaluation • Accuracy optimization and prediction system • Clean, modular, and well-commented Python code • Jupyter Notebook implementation • Documentation, PPT, and execution guide • Customization and enhancement support Technologies I work with: • Python • Scikit-learn • Pandas & NumPy • Matplotlib & Seaborn • Machine Learning algorithms • Data Visualization & Analysis I can deliver the complete project within 1–3 days with professional quality and full support after delivery. Looking forward to working with you. Best Regards Soumik Saha