GRACE

GRACE stands for Generic Risk Assessment and Cancer Evaluation — a Java-based project developed for learning purposes.
Its primary goal is to explore how Artificial Intelligence works under the hood, by building a simple neural network library from scratch, complete with backpropagation and gradient descent.

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📚 Purpose

This project was built to:

• Understand how basic neural networks function internally.
• Implement forward and backward passes manually (no external ML libraries).
• Learn the principles of gradient descent and weight updates.
• Create a basic AI-driven evaluation system for medical-like data.

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🔧 Key Features

🤖 Neural Network Implementation

• Custom NN Library: Pure Java implementation of a feedforward neural network.
• Backpropagation: Gradient calculation and weight update via backpropagation.
• Training with Gradient Descent: Batch training with loss minimization.
• Flexible Architecture: Define input size, hidden layers, activation functions, and outputs.

📊 Data Evaluation

• CSV Parsing: Load structured data from .csv files for training and evaluation.
• Risk Simulation: Use neural network predictions to assess risk factors.

🎨 Graphical Interface

• Visualization: Visualize how the neural network weights and biases change during training.

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🧰 Installation & Setup

🔨 Requirements

• Java JDK 17+
• JavaFX SDK
• JavaCSV Library
• IDE with JavaFX support (IntelliJ, Eclipse, VS Code)

⚙️ Eclipse Configuration

Import Project:

Option 1: Clone from Git

git clone https://github.com/Fairswing/Grace.git

Then in Eclipse:

File → Import → Existing Projects into Workspace → Select root directory → Browse to the cloned folder

Option 2: Download Project Folder

File → Import → Existing Projects into Workspace → Select root directory → Browse to the downloaded folder

Add JavaFX and JavaCSV Libraries:

Right-click project → Build Path → Configure Build Path → Add the .jar files from both JavaFX and JavaCSV

VM Arguments (Run Configurations):

--module-path "path/to/javafx-sdk-19/lib" --add-modules javafx.controls,javafx.fxml

Replace "path/to/javafx-sdk-19/lib" with your actual JavaFX SDK path.