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+# AI Design & AI Fine-tuning
+
+This repository contains two taks:
+
+1. AI Design Analyzer - Convert wireframes/screenshots to detailed UI requirements and React code
+2. BaaS(Backend As A Service) AI Fine-tuning - Fine-tune and generate backend endpoints based on existing schemas
+
+## Project Overview
+
+### AI Design Analyzer
+
+- Takes wireframe/website screenshots as input
+- Analyzes and extracts UI requirements including:
+  - Typography
+  - Color schemes
+  - Button & Input styles
+  - Icons & Images
+  - Layout & Sections
+  - Interactive elements
+- Generates production-ready React components
+
+### AI BaaS Endpoint Fine-tuner
+
+- Fine-tunes existing backend endpoints
+- Generates new endpoints based on schema definitions
+- Reuses existing services when applicable
+- Creates new services only when necessary
+
+## 🚀 Getting Started
+
+### Prerequisites
+
+- Python 3.10+
+
+## 📋 Model Training
+
+### AI Design Model
+
+The AI Design analyzer uses a model fine-tuned on UI wireframes and designs. The model is trained to detect:
+
+- UI elements and their relationships
+- Style properties and patterns
+- Layout structures
+- Interactive components
+
+  **Note**: Take any samples of data(Wireframe Image) and then do the above. For example: You can take example of UI from there: [https://dribbble.com/tags/ui](https://dribbble.com/tags/ui)
+
+  ### Basically the flow will look like that:
+
+  ![Sample Flow of AI Design](sample_flow_ai_design.png)
+
+### AI BaaS Fine-tuning Model
+
+The BaaS fine-tuning uses a CodeGen-based model trained to:
+
+- Understand existing endpoint patterns
+- Recognize schema relationships
+- Generate consistent API endpoints
+- Maintain service architecture
+  **Note**: For fine-tuning use the data in the `/ai_finetunining/dataset` directory
+
+### The flow looks like this:
+
+![Sample flow of AI Finetuning](sample_flow_ai_finetune.png)