ujwal55/Rule-Based_Task_Planner

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

🧠 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 taskplannings.py # It consist ruleengine description README.md requirements.txt # gradio

🧪 Run Locally

1. 1.Clone the repo:

git clone https://huggingface.co/spaces/ujwal55/Rule-Based_Task_Planner
cd Rule-Based_Task_Planner

1. 1.Install dependencies: pip install -r requirements.txt

1. 1.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.