Update README.md

README.md

@@ -29,32 +29,38 @@ tags:
 - Dec-community
 - Dextron
 ---
-# 🛡️ Dex — Your Personal Cybersecurity AI Assistant
+# 🛡️ Dex — Your Personal Cybersecurity AI Sidekick
 
-Dex (Digital Exploit eXpert) is a conversational AI assistant designed for cybersecurity enthusiasts, CTF players, bug bounty hunters, and students. Trained to assist with technical queries, it can chat like a pro while helping with security topics.
+> *“Built for the curious, optimized for the underground.”*
+
+**Dex** (Digital Exploit eXpert) is an intelligent cybersecurity-oriented conversational AI built for ethical hackers, CTF warriors, and knowledge-hungry learners. Whether you're crafting payloads, understanding CVEs, or just chatting — Dex makes cyber learning **fun, fast & fearless**.
 
 ---
 
-## 📊 Model Info
+## 🧠 Model Intelligence
 
-- **Model Name:** ghosthets/Dex
-- **Type:** Causal Language Model
-- **Skills:** General conversation, cybersecurity explanations, basic exploit reasoning, CTF hints, code logic
-- **Trained for:** Educational and conversational use only
+| Feature   | Description                                             |
+| --------- | ------------------------------------------------------- |
+| 🔎 Name   | `ghosthets/Dex`                                         |
+| 🧠 Type   | Causal Language Model                                   |
+| 🎯 Domain | Cybersecurity, CTFs, Ethical Hacking                    |
+| 🧪 Usage  | Educational, research, AI assistant for cyber learners  |
+| 🧰 Tools  | Text reasoning, payload discussion, exploit explanation |
 
 ---
 
-## 🧠 Dex Can Help With
+## 💥 Dex Is Trained To:
 
-- ✅ Cybersecurity concepts (XSS, CSRF, SQLi, etc.)
-- ✅ CTF challenges & walkthroughs
-- ✅ Payload generation tips
-- ✅ Code logic explanations
-- ✅ Creating custom chatbot assistants
+* 💬 Talk like a pro on cybersecurity topics
+* 🔐 Explain CVEs, XSS, CSRF, SQLi, etc.
+* 🧹 Assist in CTF logic & recon mindset
+* 💡 Generate payload hints
+* 👾 Help you build your own AI security bots
+* ⚙️ Run locally with just CPU or on edge boards
 
 ---
 
-## ⚙️ Usage with Transformers
+## ⚙️ Run It in Python (Transformers)
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
@@ -62,15 +68,13 @@ import torch
 
 tokenizer = AutoTokenizer.from_pretrained("ghosthets/Dex")
 model = AutoModelForCausalLM.from_pretrained("ghosthets/Dex")
-
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)
 
 def ask_dex(prompt):
     input_text = f"User: {prompt}\nDex:"
     inputs = tokenizer(input_text, return_tensors="pt").to(device)
-
-    output = model.generate(
+    outputs = model.generate(
         inputs.input_ids,
         attention_mask=inputs.attention_mask,
         max_length=256,
@@ -80,27 +84,42 @@ def ask_dex(prompt):
         temperature=0.7,
         pad_token_id=tokenizer.eos_token_id
     )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True).split("Dex:")[-1].strip()
 
-    decoded = tokenizer.decode(output[0], skip_special_tokens=True)
-    reply = decoded.split("Dex:")[-1].strip()
-    return reply
-
-print(ask_dex("Explain SQL Injection in simple terms"))
+print(ask_dex("How to identify an XSS vulnerability?"))
 ```
 
-#👨‍💻 Made For
-Ethical Hackers
+---
+
+## ⚡ Edge-Device Ready
+
+> 💻 **Lightweight. Efficient. Ready-to-Hack.**
 
-Cybersecurity Learners
+Dex is **engineered to run smoothly on low-power devices** like:
 
-Tech Students
+* 🔹 Raspberry Pi Zero W
+* 🔹 Pi 2W & Pi 4
+* 🔹 Tinker Boards / NanoPi / Pocket PCs
+* 🔹 Light virtual containers and offline setups
 
-Curious Minds
+Despite its small size, Dex delivers powerful outputs and will soon be trained on **more curated data**, making it **sharper, smarter, and more secure**.
+
+---
+
+## 👨‍💻 Perfect For
+
+* Ethical Hackers
+* Red Teamers & Pentesters
+* Bug Bounty Hunters
+* Cybersecurity Students
+* AI + Security Researchers
+* Solo Cyber Ninjas
+
+---
 
-⚡ Optimized for edge devices — This model is fine-tuned to run efficiently even on low-power systems like Raspberry Pi Zero W, 2W, and similar micro boards. While it's currently trained on limited data, we plan to expand its training set soon, making it even more accurate, interactive, and capable of deeper conversations and secure communications.
+## 🧠 Built With ❤️ by
 
-#🧠 Creator
-Gaurav Chouhan
-aka ghosthets
-🔗 GitHub: ghosthets
-📍 India 🇮🇳
+**Gaurav Chouhan**
+aka `ghosthets`
+🔗 [GitHub: ghosthets](https://github.com/ghosthets)
+📍 From India 🇮🇳