🛒 Smart Grocery Restock Bot

A Telegram bot that intelligently predicts when you need to restock your groceries using machine learning and contextual data like weather patterns and user behavior.

🌟 Features

• Zero Setup: Just tell the bot what groceries you usually buy
• Smart Predictions: Uses machine learning to learn your consumption patterns
• Context-Aware: Considers weather, seasonality, and local events
• Feedback-Driven: Improves recommendations based on your approval/rejection
• Privacy-First: No need to input quantities or detailed purchase data

🚀 How It Works

1. Setup: Tell the bot your usual grocery items (e.g., "milk", "bread", "bananas")
2. Learning: The bot starts with conservative estimates and learns from your feedback
3. Smart Notifications: Get timely restock reminders based on:
   • Your historical patterns
   • Weather forecasts (affects fresh produce consumption)
   • Seasonal trends
   • Day of the week patterns
4. Feedback Loop: Simply approve ✅ or reject ❌ notifications to improve accuracy

🏗️ Architecture

• Backend: Python with python-telegram-bot
• Database: PostgreSQL for user data, Redis for caching
• ML Approach: Multi-Armed Bandit with contextual features
• APIs: OpenWeatherMap for weather data
• Hosting: Railway/Render/Google Cloud Run ready

🧠 Machine Learning Approach

The bot uses a contextual multi-armed bandit approach where:

• Each grocery item has multiple timing strategies
• Context includes weather, seasonality, user patterns, and feedback history
• Reward system: +1 for approved notifications, penalties for poor timing
• Gradual learning with conservative initial estimates

🔧 Installation

Prerequisites

• Python 3.9+
• PostgreSQL
• Redis (optional, for caching)
• Telegram Bot Token

Setup

1. Clone the repository

   git clone https://github.com/yourusername/smart-grocery-restock-bot.git
   cd smart-grocery-restock-bot

2. Install dependencies

   pip install -r requirements.txt

3. Environment Configuration

   cp .env.example .env
   # Edit .env with your configuration

4. Database Setup

   python scripts/init_db.py

5. Run the bot

   python bot.py

📊 Configuration

Create a .env file with:

TELEGRAM_BOT_TOKEN=your_telegram_bot_token
DATABASE_URL=postgresql://username:password@localhost/grocery_bot
OPENWEATHER_API_KEY=your_openweather_api_key
REDIS_URL=redis://localhost:6379 (optional)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📈 Roadmap

• Basic grocery tracking and notifications
• Weather integration
• Multi-Armed Bandit implementation
• User feedback system
• Advanced ML features (seasonal patterns, local events)
• Analytics dashboard
• Multi-language support

🔒 Privacy

This bot is designed with privacy in mind:

• No detailed purchase tracking
• Only aggregated consumption patterns stored
• Optional data deletion
• Local deployment supported

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built for users who want smarter grocery management
• Inspired by the need for intelligent, context-aware notifications
• Special thanks to the open-source community

📧 Contact

For questions or suggestions, please open an issue or contact [[email protected]].

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