🧠 Smart Goal Planner Agent

📌 Overview

Smart Goal Planner Agent is a Streamlit-based AI tool that helps users break down high-level goals (like “Learn Python in 5 days”) into a manageable, day-wise plan using a generative AI model (Gemini). It also incorporates a simple reinforcement learning (RL) loop to learn from user feedback and refine future plans.

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🚀 Features

• ✅ Plan generation using Gemini API (Google Generative AI)
• ✅ Daily step-by-step breakdown of goals
• ✅ Interactive feedback from users
• ✅ Adaptive learning using Reinforcement Learning

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🔧 Tech Stack

• Python 🐍
• Streamlit
• Google Gemini API (Generative AI)
• Reinforcement Learning logic

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🖥️ How to Run Locally

1. Clone the Repository

git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name

2. Install Dependencies

Make sure you have Python 3.9+ and pip installed.

pip install -r requirements.txt

3. Setup Environment Variables

Create a .env file in the root folder and add your Gemini API key:

GEMINI_API_KEY=your_api_key_here

4. Run the App

streamlit run main.py

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📷 Screenshot

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💡 How It Works

1. Goal Input: User enters a high-level goal.
2. Gemini Generation: Goal is passed to Google Gemini to create a 5-day plan.
3. Interactive Feedback: User gives feedback on each day's step.
4. RL Update: Feedback is used to update internal strategy with reinforcement logic.

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📁 Project Structure

.
├── main.py              # Streamlit frontend
├── gemini_agent.py      # Gemini goal planning logic
├── rl.py                # Reinforcement learning logic
├── .env                 # API key (not shared)
├── requirements.txt     # Required Python libraries
└── README.md

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🧠 Powered By

• Google Generative AI (Gemini)
• Streamlit
• Basic RL strategy for feedback learning

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🙌 Contributions

PRs are welcome! If you find bugs or want to suggest improvements, feel free to open an issue or fork the repo.

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