Diabetic Retinopathy Detection Using Deep Learning | Best Deep Learning Project 2025-26
Contact us for full code and Documentation : 8088605682 (call us)
🔬 Diabetic Retinopathy Detection System | AI-Powered Retina Analysis
In this video, we showcase our advanced Diabetic Retinopathy detection project built using a hybrid deep learning approach. After referencing multiple IEEE papers, we implemented a unique and robust methodology to classify retina images and detect diabetic retinopathy stages with high accuracy.
✅ Key Features of the Project:
📊 Data Augmentation to balance the dataset
🧪 Stacked Preprocessing:
Grayscale Conversion
CLAHE (Contrast Limited Adaptive Histogram Equalization)
Gaussian Filtering
Canny Edge Detection
🤖 Model Training using:
EfficientNet
MobileNet
Hybrid (EfficientNet + MobileNet)
🌐 Web Application using HTML, CSS, Flask
📈 Achieved high performance and tested on real-time images
💡 Why Watch This?
This project is ideal for:
Final-year students
AI/ML enthusiasts
IEEE project seekers
Researchers looking for a DR solution
🎓 Want the Full Project Code + Documentation + PPT?
We provide:
💻 Complete source code
📝 IEEE-style documentation
📊 Professional PPT
📚 Explanation sessions
🤝 Future mentorship for academic and research support
📩 To Get Full Access:
➡️ Contact us in the comments or via email provided in the video.
🔔 Don't forget to Like, Share, and Subscribe for more deep learning project videos!