Operations

Data Collection & Curation Gather diverse henna/mehndi designs from various cultural contexts, ensuring proper licensing and attribution

Dataset Preprocessing Clean, normalize, and augment images; create consistent format and metadata structure

Model Selection & Architecture Evaluate and select appropriate base model (e.g., Stable Diffusion) for fine-tuning

Initial Model Training Fine-tune base model on curated dataset using LoRA or similar efficient training methods

Fine-Tuning

Evaluation Metrics Implementation Develop quantitative and qualitative metrics for assessing design quality and cultural authenticity

API Development Create RESTful API endpoints for model inference and result delivery

Frontend Interface Design and implement user-friendly web interface with customization options

MLOps Pipeline Setup Implement monitoring, logging, and automated deployment workflows

Fine-Tuning

Cost Optimization Optimize inference times and implement caching strategies for efficient scaling

User Feedback Integration Add mechanisms for collecting and incorporating user feedback into model improvements

Documentation & Educational Content Create comprehensive documentation and cultural context materials

Community Features Implement sharing, favoriting, and community engagement features