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


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
- FromPakistan
- Member sinceJan 2025
Languages
Urdu, Sindhi, English
FAQ
Q1: What do I need to provide you to get started?
A: You need to provide labeled images of skin conditions (or let me know if you want me to use a public dataset). If you have specific disease categories in mind, please mention them.
Q2: Can this model be used for real-time predictions?
A: Yes, in the Premium package I can include a basic web or mobile interface that supports real-time image upload and prediction.
Q2: What will I receive after the order is complete?
A: You'll receive a fully functional CNN model (in Python or Colab notebook), along with model accuracy, classification report, and instructions on how to use it. Optionally, I can provide a small web interface.
Do I need to know coding to use this model?
A: No! If you choose the Premium package, I’ll provide a simple interface or instructions so you can easily use it without coding knowledge.

