COVID-19 Detection Using CT Scan Chest Images | Deep Learning IEEE Final Year Project with Code

Опубликовано: 05 Июнь 2026
на канале: Smart AI
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🦠 COVID-19 Detection Using CT Scan Chest Images | Deep Learning-Based IEEE Project
In this project, we’ve built a highly accurate and fast COVID-19 detection system using deep learning on chest CT scan images. Trained on real-world datasets and developed using state-of-the-art CNN architectures, this system detects COVID-19 infection patterns with exceptional performance—providing vital support in medical diagnostics.

📚 The project is designed after studying multiple IEEE research papers, focusing on:

Lung image preprocessing (CLAHE, edge detection)

Use of CNN models like ResNet50, EfficientNet, and hybrid models

Real-time prediction system via a user-friendly web interface

Detection of COVID-positive, COVID-negative, and Pneumonia

👨‍⚕️ Suitable for:

Final Year BTech/BE/MSc/MCA Students

Deep Learning enthusiasts in healthcare

AI researchers working on pandemic-related solutions

💻 Tech Stack Includes:

Python, TensorFlow, Keras

CT Scan preprocessing using OpenCV

CNN architectures: EfficientNet, ResNet50, Hybrid CNN

Flask (Backend) + HTML/CSS/JS (Frontend)

📦 What You’ll Receive:

✅ 100% Working code + datasets

✅ IEEE-style project documentation

✅ Personalized mentorship and video guidance

✅ Deployment-ready web app

📩 Contact for code, customization, and support:
📱 +91-8088605682
🌐 Website: https://smartaitechnologies.com/

🏢 About Us – Smart AI Technologies
We specialize in IEEE-based final year projects across:

Deep Learning, AI, and Medical Image Processing

IoT, NLP, Data Science, and Cybersecurity

Full support: Code, documentation, mentorship, video explanation

🎓 Trusted by 8000+ students and research scholars
🎥 See more on our YouTube channel: Smart AI Technologies


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