for full code and dataset and support contact us :
8088605682 (you can whatsapp or call us)
🍎 Fresh and Rotten Fruit Classification Using Deep Learning | IEEE-Based AI Project
This deep learning-based project accurately classifies fresh vs rotten fruits from images using CNN models. It is a perfect application for agriculture, retail, and food industries to automate quality checks, reduce waste, and ensure food safety.
📚 This system is developed using techniques from multiple IEEE research papers, providing:
Accurate classification of multiple fruit types (Apple, Banana, Orange, etc.)
Differentiation between fresh and rotten conditions
High-performance models like ResNet50, EfficientNet, and hybrid CNNs
Full web application integration with a user-friendly interface
🚜 Ideal For:
Final year B.Tech/B.E/MCA/MSc/BSc students
Researchers in agriculture and food processing
Smart retail solutions and AI-based quality control systems
💻 Tech Stack Used:
Python, TensorFlow/Keras
OpenCV for image processing & augmentation
CNN Models: EfficientNet, ResNet50, VGG19, Hybrid
Frontend: HTML, CSS, JavaScript
Backend: Flask
📦 What We Offer:
✅ 100% working code + dataset
✅ IEEE standard documentation (report, synopsis, PPT)
✅ Personal mentorship with video explanations
✅ Web deployment support
📩 Contact for full code, customization & mentoring:
📱 +91-8088605682
🌐 Website: https://smartaitechnologies.com/
🏢 About Smart AI Technologies
We provide complete support for IEEE final year projects in domains like:
Artificial Intelligence, Deep Learning, Computer Vision
Medical, Agriculture, Food Processing, and Security
Project customization, documentation, demo videos, and expert guidance
🎓 Trusted by 8000+ students and professionals across India
🎥 Watch more projects on our YouTube channel: Smart AI Technologies
🔥 Hashtags:
#FruitClassification #RottenFruitDetection #FreshFruitAI #DeepLearningProject #IEEEProject #FinalYearProject #SmartAITechnologies #PythonProject #CNNFruitClassifier #AIinAgriculture #FoodQualityAI