🧠 Brain Tumor Classification Using Deep Learning | IEEE-Based Final Year Project with Full Code
Contact us at: 8088605682 for full code and support
🚨 Looking for an IEEE final year project in medical imaging or AI in healthcare?
In this demo, we showcase a powerful Brain Tumor Classification System built using advanced deep learning algorithms like EfficientNet, ResNet50, and our own hybrid CNN model. This project is backed by extensive research from multiple IEEE papers and designed for high accuracy in real-world medical diagnosis scenarios.
✅ Key Features:
Built using TensorFlow, Keras, OpenCV
Preprocessing: CLAHE, noise removal, edge detection
Training with transfer learning (EfficientNet, ResNet50)
Real-time image upload & classification via Flask web app
Detailed output: Tumor type, treatment info, hospital recommendations
End-to-end code, documentation, and mentorship provided
🎓 Ideal for:
Final year students (BTech, MTech, BE, MSc)
Researchers in medical AI, deep learning, and image classification
Institutions and developers looking for commercial or academic AI solutions
📞 Want this full project with code, report, and personal guidance?
👉 Contact us at: 8088605682
🌐 Or visit our website: https://www.smartaitechnologies.com/
📥 Deliverables:
Source code (.py / .ipynb)
IEEE-style documentation (ready for submission)
Installation + setup instructions
Live demo video
Mentorship support until your project is completed!
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