Conversational Learning System

Overview

This project implements a Telegram-based learning system with persistent user state and structured interaction flows.

It manages:

• Conversational flows
• User state tracking
• Course and quiz delivery
• Support and feedback handling

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System Design

1. Bot Interface

• Telegram bot as primary user interface
• Command-based interaction system

2. State Management

• Stores user state in database
• Supports multi-step interactions

3. Content Delivery

• Courses module
• Quiz module
• Support module

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Core Features

• Structured learning flows
• Quiz-based assessment system
• User support channel
• Persistent session handling

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Database Layer

• MySQL based storage
• User state tracking
• Course and quiz data models

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Architecture

Telegram API → Bot Logic → State Manager → Database → Response Engine

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Requirements

• PHP 7.4+
• Composer
• MySQL
• Telegram Bot API

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Setup

1. Install dependencies composer install

2. Configure environment Copy .env.example to .env Set database credentials and bot token

3. Deploy to server Upload to web server Configure webhook endpoint

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API Commands

• /help → system guide
• /courses → available courses
• /quiz → start assessment flow
• /contact → support channel

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