AI Skin Cancer Detection System | Deep Learning Project | Python

🔬 AI-Powered Skin Cancer Detection System - Complete Deep Learning Project

Build an advanced medical diagnosis application that detects and classifies 24 types of skin diseases using CNN technology !

🎯 Perfect for Final Year Projects | CSE | IT Students

⭐ Key Features:
✅ Detects 24 skin diseases including melanoma, basal cell carcinoma, eczema, psoriasis
✅ Flask web interface with responsive design
✅ Real-time image analysis with visual charts
✅ Comprehensive diagnosis reports with treatment info
✅ Mobile-friendly design
✅ PDF export functionality

💻 Technology Stack:
- Python 3.10 | Flask 3.0
- TensorFlow 2.15 | Keras
- CNN Architecture
- HTML5, CSS3, JavaScript
- Chart.js for visualizations

📦 What You'll Get:
✔️ Complete source code (Python, HTML, CSS, JS)
✔️ Pre-trained CNN models (136 MB)
✔️ Training Jupyter notebook
✔️ Dataset with 24 disease categories
✔️ Installation guide & documentation
✔️ API documentation
✔️ Project support included

🎓 Learning Outcomes:
- Deep Learning & Neural Networks
- Computer Vision & Image Processing
- Full-stack Web Development with Flask
- Model Training & Deployment
- Healthcare AI Applications

🌟 Why This Project?
✨ High industry relevance in healthcare AI
✨ Impressive visual results with charts
✨ Complete documentation included
✨ Suitable for research papers
✨ Strong portfolio addition
✨ Real-world social impact

💰 Special Offer: ₹699 (Original Price: ₹1999)

📱 Get This Project Now:

WhatsApp: +918603862290

🌐 Website: https://projects.codeaj.com/projects/ai-skin-cancer-detection-deep-learning-project/

⚙️ System Requirements:
Minimum: Python 3.8+, 4GB RAM, 500MB storage
Recommended: Python 3.10+, 8GB RAM, 1GB storage

🚀 Deployment Ready for: Heroku, AWS, Google Cloud, Azure

📧 For queries and support, contact us on WhatsApp!

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