Update README.md

README.md

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 # Smart FuelTech 🔥
 
-This tool predicts **combustion efficiency (%)** using a machine learning model trained on coal parameters like:
+Smart FuelTech is an AI-powered app that predicts **combustion efficiency (%)** based on key coal parameters and provides smart suggestions using **Groq's LLaMA model**.
 
+## 💡 Input Parameters:
 - Volatile Matter (%)
 - Ash Content (%)
 - Total Sulfur (%)
-- Gross Calorific Value (kcal/kg)
+- GCV (kcal/kg)
 
-It also uses **Groq's LLaMA model** to provide **AI-generated suggestions** for improving combustion efficiency.
+## ⚙️ Features:
+- Predict combustion efficiency using a Random Forest model.
+- Get real-time AI recommendations powered by Groq LLaMA.
 
----
-
-### How It Works
-
-✅ Enter coal properties  
-✅ Click "Submit"  
-✅ Get predicted efficiency and AI recommendations  
-
----
-
-### Developed For
-
-🚀 **Hackathon Project**  
-Organized by **PEC, iCodeGuru, Aspirate Pakistan & Pak Angels**
-
----
+## 👩‍🔬 Developed By:
+Dr. Anila Sarwar  
+Fuel Research Centre, PCSIR
 
-### Technologies Used
+## 🎯 For:
+PEC Hackathon (Organized by PEC, iCode Guru, Aspirate Pakistan, Pak Angels)
 
+## 📦 Tech Stack:
 - Python
 - Gradio
-- scikit-learn (Random Forest)
-- Groq API (LLaMA model)
+- Groq (LLaMA)
+- scikit-learn