Telegram bot that can process natural human language and place pizza orders. Built with Telegraf.js and Dialogflow ES API integration.

• @i-zokirov

You can interact with live demo bot on telegram: https://t.me/testpitsabot

Server: Nodejs, Express, Typescript, Telegrafjs, Dialogflow API/SDK, Mongoose, Socket.IO

Database: MongoDB

• Written in TypeScript: The project is written in TypeScript, a statically-typed language that builds on JavaScript and provides improved type safety and code organization.

• Integration with Dialogflow ES: The bot has integration with Dialogflow ES, a language processing model that can understand natural human language.

• Uzbek language training: The Dialogflow agent is trained in the Uzbek language, allowing users to interact with the bot in their native language.

• Dialogflow contents included: The source repository includes the Dialogflow contents in the "dialogflow-content" directory, making it easy for developers to see how the language model is set up and how the bot is trained to respond to user inputs.

• Multiple intents: The bot supports multiple intents, including a welcome intent, order pizza intent, help intent, and more, allowing users to interact with the bot in a variety of ways.

• Improve language processing modal to understand complex user queries.
• Integrate payment processing to the bot using Stripe or other alternatives
• Create Restaurant app that receives the orders bot has registered in real time with socket.io
• Allow bot to receive restaurant updates on orders in real time and provide the updates on users
• Create complex menu that can be managed by Restaurant managers in real time
• Allow user to include multiple products in orders
• Feedback collecting on completed orders

• 📫 Feel free to reach me for collaboration: send email to [email protected]

To run this project, you will need to add the following environment variables to your .env file

MONGODB_URI - MongoDB database URI

BOT_TOKEN - telegram bot token

dl_project_id - Dialogflow project id

dl_lang_code - Dialogflow agent language code

dl_location - Dialogflow agent location