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COPYRIGHT ©
2026Kenan Bukit. All rights reserved.
Developed a web-based application to classify egg conditions using a Convolutional Neural Network (CNN) model based on uploaded images.
Built a simple interface and backend system to allow users to upload images and receive classification results efficiently.

Machine learning model built using TensorFlow with CNN architecture
Backend developed using Flask for model deployment
Image upload feature for egg condition classification
Prediction output displaying classification results
Integration between frontend interface and ML model
Web deployment for easy access and testing