Daily Habit Tracker Bot 🤖

A Telegram bot that helps users track their daily activities and build better habits through voice messages and text interactions. The bot uses OpenAI's GPT-4 and Whisper API to process natural language inputs and provide structured activity tracking.

Features ✨

• Voice Message Processing: Record your daily activities through voice messages
• Natural Language Understanding: Describes activities in your own words
• Sentiment Analysis: Automatically detects the mood/sentiment of activities
• Activity Timeline: Visual representation of your daily activities
• Duration Tracking: Automatically calculates activity durations
• Statistics: Track your progress and maintain streaks

Prerequisites 📋

• Python 3.8+
• Telegram Bot Token
• OpenAI API Key
• MongoDB Database

Installation 🚀

1. Clone the repository:

git clone https://github.com/yourusername/habit-tracker-bot.git
cd habit-tracker-bot

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

4. Create a .env file in the project root with your credentials:

TELEGRAM_TOKEN=your_telegram_bot_token
OPENAI_API_KEY=your_openai_api_key
DATABASE_URL=your_MongoDB_database_url

Usage 💡

1. Start the bot:

python bot.py

2. In Telegram, start a conversation with your bot and use these commands:

• /start - Initialize the bot and see welcome message
• /help - View available commands
• /track - Start tracking your activities
• /stats - View your activity statistics

3. Send voice messages describing your daily activities:

"I woke up at 6:30, had a great breakfast until 7:15, then read for 45 minutes"

Project Structure 📁

habit-tracker-bot/
├── bot.py              # Main bot implementation
├── inputHandler.py     # Voice and text processing logic
├── database.py        # Database operations
├── requirements.txt   # Project dependencies
└── .env              # Environment variables

Dependencies 📦

• python-telegram-bot
• openai
• python-dotenv
• pymongo

How It Works 🛠️

1. Voice Input Processing:

   • User sends voice message
   • Bot converts speech to text using OpenAI Whisper
   • Text is processed to extract activities and timing

2. Activity Extraction:

   • Uses GPT-4 to understand natural language
   • Extracts time, duration, and sentiment
   • Structures data for storage

3. Data Storage:

   • Activities stored in MongoDB
   • Tracks user progress and streaks
   • Maintains historical data

Contributing 🤝

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

License 📄

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

Acknowledgments 🙏

• OpenAI for GPT-4 and Whisper API
• Telegram Bot API
• All contributors and users of the bot

Support 💬

For support, email [email protected] or create an issue in the repository.

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Good Luck!