👁️ Anemia Detection using Retinal Eye Images & Deep Learning | Python Flask | SkillProPlus
👁️ Anemia Detection using Retinal Eye Images and Deep Learning
This AI-powered healthcare project uses Deep Learning techniques to detect signs of Anemia from retinal eye images. The system analyzes uploaded retinal images and predicts whether a person may have anemia based on patterns identified through medical image processing.
Built using Python, Flask Framework, and Deep Learning models, this project provides a fast, non-invasive, and intelligent approach to preliminary anemia screening.
🚀 Key Features:
✔ Retinal Eye Image Upload System
✔ Deep Learning-Based Anemia Detection
✔ Medical Image Processing
✔ Automated Prediction and Analysis
✔ User-Friendly Flask Web Application
✔ Fast and Accurate Screening Results
⚙️ Technologies Used:
• Python
• Flask Framework
• Deep Learning (CNN)
• TensorFlow / Keras
• OpenCV
• Medical Image Processing
💡 Applications:
✅ Healthcare Diagnostics
✅ Medical Image Analysis
✅ AI-Based Disease Detection
✅ Clinical Decision Support Systems
✅ Smart Healthcare Solutions
🎯 Ideal For:
Final Year Students in:
Artificial Intelligence
Machine Learning
Deep Learning
Healthcare Informatics
Computer Science Engineering
Data Science
📈 Project Benefits:
✔ Non-Invasive Screening Method
✔ Faster Preliminary Diagnosis
✔ AI-Powered Medical Assistance
✔ Reduced Manual Analysis Effort
✔ Supports Smart Healthcare Innovations
🚨 Important Notice
This project source code and documentation are not available for free.
📦 Get Complete Project Package:
✔ Source Code
✔ Project Report
✔ Documentation
✔ Dataset Information
✔ Output Video
✔ Full Implementation Support
📞 Contact: +91 8008997364
📧 Email: skillproplus.edu@outlook.com
🌐 Website: https://www.skillsproplus.co.in
🚀 Subscribe to SkillProPlus for AI, Deep Learning, Healthcare AI, Python, and Final Year Project demonstrations with complete implementation guidance.
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