Machine Learning & Vision
AI Skin Doctor
Overview
A machine-learning powered web application built with Streamlit and ResNet50 to provide preliminary image analysis and diagnoses for various dermatological skin conditions.
Deep Learning Diagnostic Vision
AI Skin Doctor brings computer vision diagnostics directly to patients and clinic workers. Built on Python, Streamlit, PyTorch, and a fine-tuned ResNet-50 residual convolutional neural network.
Key Highlights
- Convolutional Feature Extraction: Multi-layered feature hierarchies analyze micro-textures and lesion margins.
- Immediate Evaluation: Instant visual inference reports with confidence metrics and safety disclaimers.
- Zero-Install Web Access: Hosted seamlessly on Streamlit Cloud for fast, mobile-ready public accessibility.
The challenge
Fine-tuning deep neural network image classification for varied real-world lighting and camera resolutions.
Project Walkthrough & Explanation Video
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