Request for Machine Learning Program Development
$15-25 USD / hour
I am in need of a machine learning program that can differentiate between basal cell carcinoma and squamous cell carcinoma using Convolutional Neural Network (CNN) and Gray Level Co-occurrence Matrix (GLCM) method. The program should include the following components:
Dataset: A comprehensive dataset for training and testing the model.
Training Notebook: A Jupyter Notebook for training the model using the provided dataset.
Model: The trained CNN-GLCM model, ready for deployment on a Raspberry Pi 4.
GUI: A graphical user interface using Python, that allows the user to analyze skin images using the Raspberry Pi 4 camera and the trained model.
The end goal of this project is to develop a tool that can accurately classify skin abnormalities into either basal cell carcinoma or squamous cell carcinoma. The program should be optimized for deployment on a Raspberry Pi 4, using the camera for image analysis.
If you have any questions or concerns, please do not hesitate to contact me. I look forward to hearing from you soon.
Project ID: #35898596
About the project
Awarded to:
Hey! I can deliver on this. One question though: why cnn-glcm when better alternatives are available Best, Salaar
12 freelancers are bidding on average $22/hour for this job
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