I will build a CNN model to detect skin diseases from images

M
mac_ai
M
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Muhammad Awais

About this gig

Do you need a powerful AI solution to diagnose skin diseases from images?

I will develop a Convolutional Neural Network (CNN) model trained on medical image datasets to detect and classify various skin diseases accurately. Whether you're a medical researcher, app developer, or entrepreneur, I can help you integrate smart disease prediction into your workflow.


What Youll Get:


A custom-trained CNN model for skin disease classification

Input: Skin image (PNG/JPG)


Output: Predicted disease name or healthy skin


Option to include: accuracy score, confusion matrix, and report

Well-documented Colab notebook or Python script


Fast delivery and responsive communication


 Why Choose Me:


Final year AI student with hands-on experience in CNNs and medical datasets

Worked on real-life image classification tasks

Easy to understand output with scalable code

100% satisfaction guaranteed

Get to know Muhammad Awais

Muhammad Awais
  • FromPakistan
  • Member sinceJan 2025
  • Languages

    Urdu, Sindhi, English
"Welcome! I’m an experienced AI enthusiast offering specialized services in data analysis and machine learning. My expertise includes data cleaning, model training, sentiment analysis, and making accurate predictions based on data trends. I’ve successfully worked on projects like stock price prediction, applying advanced algorithms to real-world datasets for actionable insights. With hands-on experience in data preprocessing, exploratory data analysis, and predictive modeling, I ensure reliable and meaningful results. Whether you're looking to clean messy datasets, train robust AI models, or

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