LifeBrain Bot

LifeBrain is a Telegram productivity assistant built using python-telegram-bot. It helps users with calculations, weather updates, news, task reminders, and simple natural chat — without paid AI APIs.

This project is designed to be:

• Free & offline-friendly
• Easy to run locally
• Suitable for academic projects
• Safe for public GitHub sharing

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Features

• Solve math expressions
• Get weather by city
• Fetch latest news
• Add, view, and delete tasks
• Task reminders
• Daily summary
• Simple natural replies (rule-based, no OpenAI)

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Project Structure

bot/
├── main.py
├── requirements.txt
├── .env.example
├── utils/
│   ├── solver.py
│   ├── translator.py
│   ├── weather.py
│   ├── news.py
│   ├── db.py
│   ├── memory.py
│   └── daily_summary.py

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Prerequisites

• Python 3.10 or 3.11 ( Python 3.12 may cause dependency issues)
• Telegram account

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Setup Instructions

1️ Clone the repository

git clone https://github.com/ramkumar27072006/bot.git
cd bot

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2️ Create a virtual environment

python -m venv venv

Activate it:

Windows

venv\Scripts\activate

Linux / macOS

source venv/bin/activate

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3️ Install dependencies

pip install -r requirements.txt

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4️ Create Telegram Bot Token

1. Open Telegram

2. Search @BotFather

3. Run:

   /start
   /newbot
   

4. Copy the BOT TOKEN

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5️ Create .env file

Create a file named .env in the project root.

TELEGRAM_BOT_TOKEN=PASTE_YOUR_BOT_TOKEN_HERE

Never upload .env to GitHub

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6️ Run the bot

python main.py

You should see:

 LifeBrain Bot running (free version)...

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Telegram Commands

Command	Description
/start	Start the bot
/help	Show help menu
/solve 25*(4/3)	Solve math expression
/weather chennai	Get weather
/news ai	Get news
/addtask drink water 14:00	Add task
/showtasks	View tasks
/deletetask <id>	Delete a task
/daily 07:00	Daily summary

You can also type normal messages for simple chat replies.

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Task Deletion

Tasks can be deleted manually using:

/deletetask <task_id>

(Task IDs are shown in /showtasks)

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Notes & Limitations

• No OpenAI / paid APIs used
• Bot must be running locally or on a server
• Stopping the terminal will stop the bot
• Best tested on Python 3.10 / 3.11

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Deployment (Optional)

You can deploy this bot on:

• Railway
• Render
• AWS EC2
• DigitalOcean
• Raspberry Pi.

(Local PC works fine for college projects.)

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Author

Ramkumar R B.Tech AI & Data Science Academic / Learning Project

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License

This project is open-source and intended for educational use.