Machine Learning🏢 Tugas Skripsi
Chest X-Ray Classification Web App
Deep learning web application for automated chest X-ray classification using CNN, deployed with Flask for real-time medical image analysis.
Project Overview
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Objective
Build and deploy a CNN model for chest X-ray classification via web interface, enabling medical professionals to receive instant classification results
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My Role
ML Engineer & Full-Stack Developer
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Timeline
3 weeks
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Tech Stack
Python, TensorFlow, Keras
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Key Results
- ✓Developed CNN model for chest X-ray image classification
- ✓Built Flask web application for image upload and processing
- ✓Implemented real-time classification with probability scores and processing time display
- ✓Deployed production-ready web interface for medical use
Impact
Real-time medical image classification
Value
Web-based deployment for accessibility
🔗Project Links
Tools & Technologies
PythonTensorFlowKerasFlaskCNNJupyter Notebook