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@@ -19,6 +19,7 @@ Skiada Kiki
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  Lampropoulou Nancy
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  ### πŸ“‚ Project Structure
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  The project is organized into a modular Python package (src) to separate concerns between data handling, computer vision logic, and machine learning.
 
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  ham10000_project/
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  β”‚
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  β”œβ”€β”€ data/ # Dataset (Input)
@@ -44,7 +45,7 @@ ham10000_project/
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  β”œβ”€β”€ train_main.py # MAIN SCRIPT: Orchestrates the training pipeline
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  β”œβ”€β”€ app.py # WEB APP: Interactive Streamlit interface
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  └── requirements.txt # Project dependencies
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-
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  ### πŸ”„ Sequence of Execution
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  When you run python train_main.py, the system follows this strict sequence to ensure data integrity (preventing leakage) and robust training.
 
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  Lampropoulou Nancy
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  ### πŸ“‚ Project Structure
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  The project is organized into a modular Python package (src) to separate concerns between data handling, computer vision logic, and machine learning.
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+ ```
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  ham10000_project/
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  β”‚
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  β”œβ”€β”€ data/ # Dataset (Input)
 
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  β”œβ”€β”€ train_main.py # MAIN SCRIPT: Orchestrates the training pipeline
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  β”œβ”€β”€ app.py # WEB APP: Interactive Streamlit interface
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  └── requirements.txt # Project dependencies
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+ ```
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  ### πŸ”„ Sequence of Execution
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  When you run python train_main.py, the system follows this strict sequence to ensure data integrity (preventing leakage) and robust training.