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README.md
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# Autonomous Calendar
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An AI-powered calendar assistant that helps you manage your schedule, find optimal meeting times, and automate calendar operations using natural language commands.
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## How to Use
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1. Click the "Login with Google Calendar" button
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2. Follow the authorization flow to grant access
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3. Start using natural language commands like:
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- "Schedule a meeting with Alex tomorrow at 2pm"
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- "Find all meetings with Morgan"
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- "When am I free next Monday?"
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## Authentication
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This app requires Google Calendar API credentials and OAuth authentication.
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## Docker Setup
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### Prerequisites
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- Docker and Docker Compose installed
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- Google Calendar API credentials
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### Setup Instructions
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1. **Prepare your credentials**
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Place your `credentials.json` file in the `credentials` directory.
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2. **Build and run with Docker Compose**
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```bash
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docker-compose up -d
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```
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3. **Access the application**
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Open your browser and navigate to: `http://localhost:8501`
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### Environment Variables
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You can customize the application by setting these environment variables in the docker-compose.yml file:
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- `GOOGLE_APPLICATION_CREDENTIALS`: Path to the Google credentials file
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- `TZ`: Timezone (default: Asia/Kolkata)
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## Running Locally Without Docker
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If you prefer to run without Docker:
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1. Install Python 3.9 or higher
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2. Install dependencies: `pip install -r requirements.txt`
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3. Place your credentials.json file in the project directory
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4. Run: `streamlit run app.py`
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pinned: false
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---
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# Autonomous Calendar
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An AI-powered calendar assistant that helps you manage your schedule, find optimal meeting times, and automate calendar operations using natural language commands.
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Build an agent that interacts with your calendar and inbox to schedule meetings, resolve conflicts, and optimize your day autonomously. It should understand intent (e.g., “find a time next week with Alex”) and act accordingly.
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Key Goals:
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• Integrate with Google Calendar / Outlook
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• Natural language understanding of scheduling needs
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• Use context (e.g., past meetings, preferred times)
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• Autonomous decision-making for scheduling
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