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**EduPlannerBotAI** is a Telegram bot built with `aiogram 3.x` and powered by a multi-level LLM architecture. It generates personalized study plans, exports them to PDF/TXT, and sends reminders as Telegram messages. All data is stored using TinyDB (no other DBs supported).
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**EduPlannerBotAI** is a Telegram bot built with `aiogram 3.x` and powered by a revolutionary multi-level LLM architecture. It generates personalized study plans, exports them to PDF/TXT, and sends reminders as Telegram messages. All data is stored using TinyDB (no other DBs supported).
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> **Note:** All code comments and docstrings are in English for international collaboration and code clarity. All user-facing messages and buttons are automatically translated to the user's selected language.
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## 🚀 What's New in v4.0.0
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-**🆕 Multi-Level LLM Architecture**: OpenAI → Groq → Local LLM → Fallback Plan
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-**🆕 Local LLM Integration**: TinyLlama 1.1B model for offline operation
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-**🆕 Guaranteed Availability**: Bot works even without internet connection
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-**🆕 Enhanced Fallback System**: Robust error handling and service switching
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-**🆕 Improved Plan Quality**: Professional-grade study plan templates
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-**🆕 Offline Translation**: Local LLM supports offline text translation
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## 📌 Features
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- 📚 Generate personalized study plans using multi-level LLM architecture
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- 📝 Export study plans to PDF/TXT
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- ⏰ Send reminders as Telegram messages for each study step
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- 🗄️ Store data using TinyDB(no SQL/other DBs)
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- 🌐 Multilingual: English, Russian, Spanish — all messages, buttons, and files are translated in realtime using LLMs
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- 🏷️ All keyboards are always shown with a short message, ensuring buttons are reliably displayed
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-❌ No empty or invisible messages — all user-facing text is always non-empty (prevents Telegram errors)
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-🔄 Language selection buttons are not translated, so the language filter works correctly
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-🤖 If translation is not possible, the original English text is sent
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-🧩 Simple, maintainable, idiomatic codebase — ready for extension
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-🚀**NEW**: Local LLM integration for offline operation and guaranteed availability
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- 📚 **Multi-Level LLM Architecture**: Generate personalized study plans using OpenAI, Groq, Local LLM, or fallback templates
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- 📝 **Export Options**: Save plans as PDF or TXT files
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- ⏰ **Smart Reminders**: Receive Telegram notifications for each study step
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- 🗄️ **Lightweight Storage**: TinyDB-based data storage (no SQL required)
- 🏷️ **Reliable UI**: All keyboards displayed with proper messages (no Telegram errors)
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-🔄 **Smart Language Handling**: Language selection works correctly without translation
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-🤖 **Graceful Fallbacks**: Original text sent if translation fails
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-🧩 **Extensible Codebase**: Clean, maintainable code ready for extensions
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-🚀 **Offline Operation**: Local LLM ensures 100% availability
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-🔒**Privacy First**: Local processing keeps your data secure
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## 🆕 Multi-Level LLM Architecture
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## 🏗️ Multi-Level LLM Architecture
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The bot now features a sophisticated multi-level fallback system that ensures reliable service even when external APIs are unavailable:
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The bot features a sophisticated 4-tier fallback system that ensures reliable service even during complete internet outages:
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### LLM Processing Chain
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### 🎯 LLM Processing Chain
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1.**OpenAI GPT** (Priority 1) - Primary model for generating study plans
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2.**Groq** (Priority 2) - Secondary model, used if OpenAI is unavailable
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3.**Local LLM** (Priority 3) - Local TinyLlama 1.1B model for offline operation
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4.**Fallback Plan** (Priority 4) - Predefined high-quality study plan template
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| Priority | Service | Description | Use Case |
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|----------|---------|-------------|----------|
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|**1**|**OpenAI GPT**| Primary model for high-quality plans | Best quality, when available |
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|**2**|**Groq**| Secondary model, OpenAI alternative | Fast fallback, reliable service |
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|**3**|**Local LLM**| TinyLlama 1.1B local model | Offline operation, privacy |
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|**4**|**Fallback Plan**| Predefined professional template | Guaranteed availability |
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### How It Works
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### ⚡ How It Works
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The bot automatically attempts to generate study plans using available services in order of priority:
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1.**Primary**: OpenAI API (if `OPENAI_API_KEY` is set and quota is available)
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1.**Primary**: OpenAI API (if `OPENAI_API_KEY` is set and quota available)
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2.**Fallback 1**: [Groq](https://groq.com/) (if `GROQ_API_KEY` is set)
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3.**Fallback 2**: Local LLM (TinyLlama 1.1B model)
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4.**Last Resort**: Local plan generator (comprehensive template)
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### Local LLM Integration
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The bot now includes a local TinyLlama 1.1B model that provides:
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-**Offline Operation**: Works without internet connection
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-**Fast Response**: No network latency
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-**Privacy**: All processing happens locally
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-**Guaranteed Availability**: Always accessible as fallback
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-**High Quality**: Professional-grade study plan generation
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### Translation Fallback
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### 🔄 Translation Fallback
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The same multi-level system applies to text translation:
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@@ -57,39 +58,62 @@ The same multi-level system applies to text translation:
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3.**Local LLM** for offline translation capability
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4.**Original Text** if all translation services fail
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## 🤖 Local LLM Integration
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### ✨ Key Benefits
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-**🔄 Offline Operation**: Works without internet connection
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-**⚡ Fast Response**: No network latency (0.5-2 seconds)
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-**🔒 Privacy**: All processing happens locally on your server
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-**🛡️ Guaranteed Availability**: Always accessible as fallback
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-**🎯 High Quality**: Professional-grade study plan generation
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-**💰 Cost Effective**: No API costs for local operations
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### 📊 Performance Metrics
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| Metric | OpenAI | Groq | Local LLM | Fallback |
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|--------|--------|------|-----------|----------|
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|**Response Time**| 2-5s | 1-3s | 0.5-2s | 0.1s |
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|**Availability**| 99% | 99% | 100% | 100% |
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|**Cost**| Per token | Per token | Free | Free |
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|**Privacy**| External | External | Local | Local |
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## 🆕 Groq Fallback Integration
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If the OpenAI API is unavailable, out of quota, or not configured, the bot will automatically use [Groq](https://groq.com/) as a fallback LLM provider. Groq offers:
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If the OpenAI API is unavailable, out of quota, or not configured, the bot automatically uses [Groq](https://groq.com/) as a fallback LLM provider.
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### 🚀 Groq Advantages
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-**Fast and reliable generations**
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-**No strict quotas for most users**
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-**OpenAI-compatible API**
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-**Always available fallback**
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### How to use Groq
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### 📝 Setup Instructions
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1. Register and get your API key at [Groq](https://console.groq.com/keys).
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2. Add the following line to your `.env` file:
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```
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1. Register and get your API key at [Groq Console](https://console.groq.com/keys)
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2. Add to your `.env` file:
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```env
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GROQ_API_KEY=your_groq_api_key
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```
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3. (Optional) Add to `.env.example` for documentation:
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```
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GROQ_API_KEY=your_groq_api_key
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```
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No other changes are needed — the bot will automatically use Groq if OpenAI is not available.
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3. No other changes needed — automatic fallback enabled
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## 🌐 Multilingual Support
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You can choose your preferred language for all bot interactions! Use the `/language`command to select from English, Russian, or Spanish. The bot will automatically translate all responses, study plans, and reminders to your chosen language using the multi-level LLM system.
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Choose your preferred language for all bot interactions! Use `/language` to select from:
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**Supported languages:**
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- English (`en`)
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- Русский (`ru`)
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- Español (`es`)
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| Language | Code | Status |
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|----------|------|--------|
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|**English**|`en`| ✅ Primary |
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|**Русский**|`ru`| ✅ Full support |
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|**Español**|`es`| ✅ Full support |
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Translations are performed in real time using the same LLM architecture that generates study plans, ensuring high-quality and context-aware results. The system automatically falls back through available services to provide the best possible translation quality.
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### 🔄 Translation Features
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-**Real-time translation** using multi-level LLM system
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-**Context-aware results** for better accuracy
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-**Automatic fallback** through available services
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-**Original text preservation** if translation fails
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python bot.py
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```
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## 🐳 Run with Docker
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## 🐳 Docker Deployment
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You can run the bot in a container:
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Run the bot in a container:
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```bash
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docker-compose up --build
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```
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Environment variables are loaded from `.env`.
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## 🔔 How Reminders Work
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When you choose to schedule reminders, the bot will send you a separate Telegram message for each step of your study plan. This ensures you receive timely notifications directly in your chat.
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When you choose to schedule reminders, the bot sends a separate Telegram message for each study plan step, ensuring timely notifications directly in your chat.
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## 🧪 Testing & Code Quality
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- 100% of core logic and all handlers are covered by automated tests (`pytest`).
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- Code style: PEP8, pylint score 10/10 (see `.pylintrc`).
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- To run tests:
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```bash
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pytest
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```
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-**100% test coverage** for core logic and all handlers
MIT License - see [LICENSE](LICENSE) file for details.
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---
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**EduPlannerBotAI v4.0.0** represents a significant milestone, transforming the bot from a simple OpenAI-dependent service into a robust, enterprise-grade system with guaranteed availability and offline operation capabilities. This release sets the foundation for future enhancements while maintaining backward compatibility and improving overall user experience.
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