📚 Smart Study Session Scheduler

This project is a simple AI-powered scheduling tool built with Streamlit and n8n.
It lets users plan personalized study sessions for topics like Machine Learning, Java, or Python, and uses an AI agent to generate structured, realistic learning plans based on user conditions.

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🚀 How It Works

✅ Streamlit Frontend

• The user selects:
  • A subject (Machine Learning, Java, Python)
  • Specifies a topic they want to study
  • Picks a date & time
  • Adds any extra conditions (e.g., “2 hours per day”, “Only weekends”, “I want 2 sessions”)

✅ n8n Backend

• The Streamlit app sends user input to an n8n webhook.
• n8n passes the data to an AI agent (OpenAI or Gemini) with a smart prompt that:
  • Checks for missing info
  • Automatically creates a structured plan
  • Adjusts the plan based on user conditions (like daily practice, multiple sessions, or preferred days)
• The plan is returned to Streamlit (or sent by email, saved to Google Calendar, etc.)

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🧩 Project Structure

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├── streamlit_app.py    # Main Streamlit app
├── README.md
└── (n8n workflow)      # Setup in your own n8n instance