Cervical Cancer Detection Using Deep Learning | IEEE Final Year Project with Full Code
for full code and support please call or whatsapp us :
8088605682
🧬 Cervical Cancer Detection Using Deep Learning | IEEE-Based AI Project
This advanced project detects cervical cancer at an early stage using deep learning models. We have implemented a high-accuracy classification system by applying advanced CNN architectures like EfficientNet, ResNet50, and hybrid CNN models trained on cervical cell image datasets. This model significantly improves diagnostic support and clinical decision-making.
📚 Inspired by multiple IEEE research papers, the system integrates:
Data preprocessing (CLAHE, edge detection)
Image classification using transfer learning
Real-time predictions via a full-stack web application
Cancer stage classification & result interpretation
👩⚕️ Ideal For:
Final year students (B.Tech, BE, MSc, MCA)
Medical AI researchers
AI in Healthcare projects
Women’s health diagnostics using AI
💻 Tech Stack Used:
Python, TensorFlow, Keras
OpenCV for preprocessing
CNN-based models (EfficientNet, ResNet50, Hybrid)
HTML/CSS + JavaScript (Frontend)
Flask (Backend)
📦 What You’ll Get from Us:
✅ Full source code with model and dataset
✅ IEEE paper reference and documentation
✅ Personalized mentorship and video explanation
✅ Deployment-ready project (frontend + backend)
📩 For full code, documentation & support contact:
📱 +91-8088605682
🌐 Visit: https://smartaitechnologies.com/
🏢 About Smart AI Technologies
We provide expert support for IEEE-based final year projects in:
✅ Medical image analysis & diagnostics
✅ Deep Learning, Computer Vision, NLP, IoT
✅ Project reports, mentorship, and code customization
🎓 Trusted by thousands of students across India and globally
🎥 Watch all our project demos on YouTube: Smart AI Technologies
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