feat: add fine-tuning script for medical imaging with LoRA and multilingual support

[rajantripathi]

Description

This PR adds a Fine-Tuning Script for Medical Imaging, addressing Issue #127.

Features

1. FineTuningConfig Class - Configurable LoRA fine-tuning parameters
2. Medical Image Preprocessing - Specialized for pathology, radiology, dermatology
3. Stain Normalization - For histopathology images (critical for consistent performance)
4. Multilingual Training Data - Sample data includes Chinese medical conversations

Key Components

# Configuration
config = FineTuningConfig(
    base_model="microsoft/llava-med-v1.5-7b",
    lora_r=64,           # LoRA rank for medical adaptation
    lora_alpha=16,
    num_epochs=3,
    learning_rate=2e-5
)

# Preprocess medical images
image = preprocess_medical_image("pathology.png", modality="pathology")

# Train
train_model(config)

Medical Image Preprocessing

Modality	Preprocessing
Pathology	Stain normalization (Macenko/Reinhard)
Radiology	CLAHE contrast enhancement
Dermatology	Hair removal, color normalization

Sample Training Data

Includes multilingual medical conversation format:

• English: "Analyze this breast tissue biopsy..."
• Chinese: "这是乳腺组织切片吗？..."

Related Work

• Breast Cancer Multimodal AI: https://github.com/rajantripathi/Breast-Cancer-Multimodal-AI
• RAGAS Multilingual: fix(testset): add adapt_all_prompts() to TestsetGenerator closes #1970 vibrantlabsai/ragas#2651

---

Author: Dr. Rajan Prasad Tripathi | AUT AI Innovation Lab

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