I want someone to develope an AI model for automated assessment of surgical complexity of impected mandibular third molars using OPGs. Training of AI model using CNN will be done by me once it is taught. After development of the AI model, the code and mod

@deepanshug38

I can develop a CNN-based AI model pipeline to automate assessment of surgical complexity for impacted mandibular third molars using OPG radiographs, and hand it over in a way that you can confidently train and iterate yourself. What I will build End-to-end Python project structure (clean folders, configs, reproducible runs) Image preprocessing pipeline for OPGs (resize/normalize, augmentation, train/val/test split) CNN model (transfer learning or custom CNN based on your dataset size) with clear training loop Metrics + evaluation: accuracy, confusion matrix, precision/recall, ROC-AUC (as applicable) Model export (saved weights) + inference script to run on new OPG images Clear documentation + a “how to train” walkthrough so you can train the model independently What I need from you Your label definition for “surgical complexity” (binary / 3-class / score-based) A small sample of OPGs + labels to validate the pipeline quickly Confirmation on anonymization (patient identifiers removed) Important note This will be delivered as a research/academic prototype, not a clinical device. I’ll include clear limitations and reproducibility steps. Quick questions Is complexity classification binary or multi-class? Approximate number of labeled OPGs available? Any required annotation method (e.g., Pell & Gregory / Winter classification) or your own rubric?

@Geddawy2

I am an AI/ML Engineer with strong experience in computer vision and deep learning, including CNN-based image analysis and medical-style image pipelines. I have built and deployed end-to-end vision models using PyTorch, OpenCV, and ONNX, with a focus on clean architecture, reproducibility, and reliable evaluation. I can develop an AI model to assess the surgical complexity of impacted mandibular third molars from OPG images, and clearly explain the full workflow so you can independently train, validate, and extend the CNN model. All source code, model artifacts, and documentation will be delivered in a structured and reusable form.

@niveditaj1

Hello, I will develop the core AI model architecture tailored for automated surgical complexity assessment of impacted mandibular third molars using Orthopantomograms (OPGs). I will design a specific Convolutional Neural Network (CNN) architecture, optimized for image feature extraction and complexity classification. I will deliver clean, modular Python code (using a framework like TensorFlow or PyTorch) for the model's structure, including all necessary preprocessing steps. The deliverable will be the complete, well-documented model and code, ready for you to conduct the training and validation phase with your dataset. 1) Which specific deep learning framework (TensorFlow, PyTorch, or other) do you prefer for the CNN implementation? 2) What are the exact classes or categories used for defining the "surgical complexity" (e.g., Simple, Moderate, Complex)? 3) What is the total number of OPG images available for your planned training and testing dataset? Thanks, Nivedita

@WiredAI

We have strong expertise in deep learning–based AI systems and have successfully delivered multiple production-grade models across different domains. I can share relevant past work demonstrating model development, training, deployment, and real-world performance. The project timeline of under one month is fully achievable with a structured, milestone-driven approach.

@boobeshdebo

I will develop a custom AI model for surgical complexity assessment of impacted mandibular third molars using OPGs. Deliverables include a robust codebase (Python/TensorFlow/PyTorch), model architecture (CNN-based), and detailed documentation for your subsequent training. Focus on data preprocessing, scalable design, and clinical application readiness.

@renurRajput

I can develop a Deep Learning–based AI model for the automated assessment of surgical complexity of impacted mandibular third molars using OPG images. The model will be built using Python and CNN architecture, following a clean and well-documented research-oriented workflow. The scope will include image preprocessing, dataset handling, CNN model design, training-ready scripts, and evaluation logic. Since you will handle the training once the model is explained, I will ensure the entire codebase is clear, modular, and easy to retrain or fine-tune with your own dataset and labels. The solution will be implemented using standard libraries such as TensorFlow or PyTorch, along with OpenCV and NumPy for image processing. I will also provide guidance on how to train, validate, save, and reuse the model for future experiments or integration. After development, you will receive the complete source code, model structure, and documentation, allowing full ownership and further research use. The project can be completed within one month, and I will maintain clear communication throughout development to align with your clinical and academic requirements. I have experience in AI model development, image processing, and CNN-based solutions, and I am confident this approach will meet your research objectives within the proposed budget. Looking forward to collaborating on this AI research project.

@rahulb058

As a Full-Stack Developer and Product Management Professional, I have amassed significant experience in working with the MERN stack, Python, and SQL - all valuable skills for your project on developing an AI model to assess surgical complexity using OPGs. Not only am I skilled in code development, but I'm also adept at using Generative Al to provide automation solutions that enhance user experience. Furthermore, my proficiency in data manipulation, extraction, transformation and analysis as well as database management will be crucial for effective training of the AI model using CNN techniques. This translates to fewer roadblocks or delays during the project execution phase. Additionally, my SEO optimization skills will help ensure that your final AI model aligns with current search engine best practices. Past experience is another aspect you’re seeking, and I’m happy to say that I have successfully led numerous projects that harness AI to automate processes and deliver scalable value. These projects have enabled businesses like yours to save time and costs while boosting productivity. Without a doubt, my combined expertise in Product Architecture, Agile Delivery, and Scrum Master facilitation can ensure that your project is efficiently managed and delivered within the month timeframe you desire. Let's collaborate; together we can build an impactful AI model that serves your needs!