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README.md

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-title: Neural-Link Generative Signal Recovery
-emoji: 🔥
-colorFrom: red
-colorTo: red
-sdk: docker
-pinned: false
-license: mit
-short_description: This application simulates a deep-space using GenAI
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🧠 Neural Link: 6G Semantic Communication Decoder
+
+![Live Status](https://img.shields.io/badge/Status-Active-brightgreen.svg)
+![Tech Stack](https://img.shields.io/badge/Stack-React%20|%20FastAPI%20|%20Docker-blue.svg)
+![AI Model](https://img.shields.io/badge/AI-OpenAI%20GPT--4o--mini-orange.svg)
+
+## 🎯 Project Objectives
+
+Traditional wireless communication systems are designed to transmit precise bits of data. However, in highly destructive, noisy environments, massive bit loss can render traditional messages unreadable. 
+
+**Semantic Communication** (a cornerstone of upcoming 6G networks) shifts the paradigm: instead of trying to recover the exact bits, the system attempts to recover the *meaning* (intent) of the message. 
+
+This project simulates a noisy wireless channel and acts as an intelligent receiver. It uses a Large Language Model (LLM) to act as a **Semantic Decoder**, taking heavily corrupted text strings and reconstructing the original human intent perfectly.
+
+## ⚙️ How It Works
+
+1. **Signal Corruption (Simulation):** A message is passed through a simulated noisy wireless channel, resulting in severely corrupted text (e.g., bits dropped, characters scrambled).
+2. **Semantic Decoding:** The corrupted output is fed into an AI-powered decoder (`gpt-4o-mini`).
+3. **Intent Reconstruction:** The AI analyzes the contextual clues remaining in the corrupted text and outputs the corrected, original semantic intent.
+
+## 🛠️ Technology Stack
+
+* **Frontend:** React.js, Vite, Tailwind CSS
+* **Backend:** Python, FastAPI, Uvicorn
+* **AI / Engine:** OpenAI API (`gpt-4o-mini`)
+* **Deployment:** Docker (Multi-stage builds), Hugging Face Spaces
+
+## 📂 Project Structure
+
+```text
+neural-link-space/
+├── frontend/               # React application
+│   ├── src/
+│   │   ├── main.jsx        # React entry point
+│   │   ├── App.jsx         # Main UI component
+│   │   └── index.css       # Tailwind CSS configuration
+│   ├── package.json
+│   └── vite.config.js
+├── backend/                # Python FastAPI server
+│   ├── main.py             # API routing and server setup
+│   ├── comm_system.py      # Wireless channel noise simulation
+│   └── ai_decoder.py       # OpenAI semantic reconstruction logic
+├── Dockerfile              # Multi-stage build instructions
+├── requirements.txt        # Python dependencies
+└── README.md