Update README.md

README.md

@@ -1,69 +1,97 @@
-license: openrail language:
+# 🚀 OpenCreate Ai v1 - Edge AI Model
 
-en tags:
+**OpenCreate Ai v1** is a lightweight, local Edge AI model implementation written entirely in Rust. It features a custom-built architecture including a Tokenizer, Embedding Matrix, Self-Attention mechanism, and Next-Token Prediction pipeline designed for efficient text and code generation on edge devices.
 
-rust
+---
 
-edge-ai
-
-custom-model
-
-tokenizer
-
-self-attention
-
-🚀 OpenCreate Ai v1 - Edge AI Model
-
-OpenCreate Ai v1 is a lightweight, local Edge AI model implementation written entirely in Rust. It features a custom-built architecture including a Tokenizer, Embedding Matrix, Self-Attention mechanism, and Next-Token Prediction pipeline designed for efficient text and code generation on edge devices.
-
-🛠️ Model Architecture
+## 🛠️ Model Architecture
 
 The model consists of four core modular layers implemented from scratch in Rust:
 
-Custom Tokenizer:
+### 1. Custom Tokenizer
+- Builds a vocabulary directly from the training corpus.
+- Handles text encoding (string to token IDs) and decoding (token IDs back to text).
 
-Builds a vocabulary directly from the training corpus.
+### 2. Embedding Layer
+- Transforms token IDs into dense mathematical vectors (`vocab_size × embedding_dim`) using custom weights.
 
-Handles text encoding (string to token IDs) and decoding (token IDs back to text).
+### 3. Self-Attention Mechanism
+- Captures contextual relationships and dependencies between tokens for basic reasoning and comprehension.
 
-Embedding Layer:
+### 4. Prediction Layer (Linear / Next-Token)
+- Computes context vectors to predict and generate the next sequential token for text writing or code completion.
 
-Transforms token IDs into dense mathematical vectors (vocab_size x embedding_dim) using custom weights.
+### 5. Document & Search Pipeline
+- Local search indexing and text output processing pipeline.
 
-Self-Attention Mechanism:
+---
 
-Captures contextual relationships and dependencies between tokens for basic reasoning and comprehension.
+## 💻 Getting Started (Local Run)
 
-Prediction Layer (Linear / Next-Token):
+Ensure you have Rust & Cargo installed on your system.
 
-Computes context vectors to predict and generate the next sequential token for text writing or code completion.
+### 1. Clone the repository / Open project folder
+```bash
+cd OpenCreateAI
+```
 
-Document & Search Pipeline:
+### 2. Run the model via Cargo
+```bash
+cargo run
+```
 
-Local search indexing and text output processing pipeline.
+---
 
-💻 Getting Started (Local Run)
+## 📊 Sample Output
 
-Ensure you have Rust & Cargo installed on your system.
+When executed locally, the model processes prompts and generates tokens as follows:
 
-Clone the repository / Open project folder:
+```text
+==================================================
+   OpenCreate Ai v1 - Edge AI Model Initialized   
+==================================================
 
-cd OpenCreateAI
+[1] Tokenization Process:
+Input Prompt : OpenCreate
+Encoded IDs  : [0, 1, 2, 3, 4, 5, 2, 6, 7, 2]
 
-Run the model via Cargo:
+[2] Embedding Matrix Generated successfully.
+[3] Self-Attention Mechanism Applied (Reasoning active).
 
-cargo run
+[4] Generation & Output Result:
+Generated Output Text/Code : OpenCreatea
 
-📊 Sample Output
+[5] Document & Search Pipeline:
+Status: Local Search Indexing & Document Export Ready.
+==================================================
+```
 
-When executed locally, the model processes prompts and generates tokens as follows:
+---
+
+## 📄 License
 
-================================================== #    OpenCreate Ai v1 - Edge AI Model Initialized [1] Tokenization Process: Input Prompt : OpenCreate Encoded IDs  : [0, 1, 2, 3, 4, 5, 2, 6, 7, 2]
+This project is licensed under the **OpenRAIL** (Open Responsible AI License). By using, downloading, or modifying this model, you agree to comply with the terms and conditions promoting safe, responsible, and ethical AI deployment.
 
-[2] Embedding Matrix Generated successfully. [3] Self-Attention Mechanism Applied (Reasoning active).
+| Meta Info | Value |
+|-----------|-------|
+| **License** | openrail |
+| **Language** | en |
+| **Tags** | `rust`, `edge-ai`, `custom-model`, `tokenizer`, `self-attention` |
 
-[4] Generation & Output Result: Generated Output Text/Code : OpenCreatea
+---
 
-[5] Document & Search Pipeline: # Status: Local Search Indexing & Document Export Ready. 📄 License
+## Project Structure
 
-This project is licensed under the OpenRAIL (Open Responsible AI License). By using, downloading, or modifying this model, you agree to comply with the terms and conditions promoting safe, responsible, and ethical AI deployment.
+```
+OpenCreateAI/
+├── Cargo.toml
+├── src/
+│   ├── main.rs
+│   ├── tokenizer.rs
+│   ├── embedding.rs
+│   ├── attention.rs
+│   ├── prediction.rs
+│   └── search.rs
+└── data/
+    └── corpus.txt
+```