Update ReadMe with new description

README.md

@@ -11,3 +11,91 @@ short_description: Helps users break down high-level tasks into sub-steps
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# 📋 Rule-Based Task Planner
+
+A simple rule-based AI agent that helps users break down high-level tasks into actionable substeps. Built with Python and Gradio, this project demonstrates a basic agentic AI workflow using hard-coded logic — no machine learning involved.
+
+---
+
+## 🚀 Demo
+
+👉 [Launch the app on Hugging Face Spaces](https://huggingface.co/spaces/ujwal55/Rule-Based_Task_Planner)
+
+---
+
+## 🧠 What It Does
+
+Enter a task like:
+
+- `Plan a study session`
+- `Plan a workout`
+- `Plan a trip`
+- `Plan a presentation`
+
+And the app will return a predefined list of sub-tasks.
+
+Example:
+
+> **Input:** `Plan a study session`  
+> **Output:**  
+> 1. Choose a topic to study  
+> 2. Gather necessary materials (books, notes, etc.)  
+> 3. Allocate a time slot for the session  
+> 4. Set specific goals  
+> 5. Review notes and summarize key points
+
+---
+
+## 🛠 Tech Stack
+
+- **Python**
+- **Gradio** – For building a lightweight UI
+- **Rule Engine** – Dictionary-based mapping of tasks to steps
+
+---
+
+## 🧩 Agentic AI Concept
+
+Although there's no ML model here, this project mimics agentic behavior using a **hard-coded rule-based planner**:
+- Maps user intent to structured outputs
+- Provides a decision-like structure via a rule engine
+
+This is ideal for beginners looking to build agentic systems without needing a large language model.
+
+---
+
+## 📁 File Structure
+app.py # Main app with Gradio interface
+task_plannings.py # It consist rule_engine description
+README.md 
+requirements.txt # gradio
+
+---
+
+## 🧪 Run Locally
+
+1. Clone the repo:
+```bash
+git clone https://huggingface.co/spaces/ujwal55/Rule-Based_Task_Planner
+cd Rule-Based_Task_Planner
+```
+
+2. Install dependencies:
+pip install -r requirements.txt
+
+3. Run the app:
+python app.py
+
+💡 Ideas to Extend
+- Add a dropdown to choose common tasks
+- Allow user-defined tasks with a fallback plan
+- Use a small local LLM for few-shot task breakdowns
+
+---
+
+👨‍💻 Built by @ujwal55
+
+Let me know if you want a more advanced version with a chatbot-style interface or LLM integration later.
+
+---