A Telegram bot powered by AI that helps users build and manage their vocabulary collaboratively. Built with Node.js, Prisma, and Google's Gemini AI.

• AI-Powered Word Search: Get detailed word information using Google Gemini AI
• Collaborative Vocabulary: Share and manage words with authorized users
• Smart Word Management: Add, search, find, and delete vocabulary words
• Daily Automation: Morning prompts and evening recaps
• Interactive Commands: Easy-to-use Telegram commands

• Search & Save (/sw [word]): Search for word definitions and automatically save them
• Add Manually (/w): Add custom words with your own definitions
• Find Words (/f [term]): Search through your vocabulary database
• Delete Words (/delete [word]): Remove words from your collection
• Recent Words (/dayX): View words added in the last X days

• Morning Prompts: Daily motivational quotes and word suggestions
• Evening Recaps: Summary of all words added during the day
• Word Suggestions: AI-generated vocabulary recommendations

• General Queries (/sq [query]): Ask anything and get AI-powered responses
• Word Definitions: Comprehensive word information including pronunciation, meaning, examples, synonyms, and antonyms
• Database Search: Find words by partial matches in word or description

• Backend: Node.js with ES modules
• Database: PostgreSQL with Prisma ORM
• AI Integration: Google Gemini AI
• Bot Framework: node-telegram-bot-api
• Deployment: Vercel
• Scheduling: Vercel Cron Jobs

• Node.js 18.x or higher
• PostgreSQL database
• Telegram Bot Token
• Google Gemini API Key

git clone https://github.com/letsbegincode/Lexibot.git cd collaborative-bot-main

npm install

Create a .env file in the root directory:

# Database DATABASE_URL="postgresql://username:password@localhost:5432/vocabulary_bot" # Telegram Bot TELEGRAM_BOT_TOKEN="your_telegram_bot_token" AUTHORIZED_USERS="user_id1,user_id2,user_id3" # AI Integration GEMINI_API_KEY="your_gemini_api_key"

# Generate Prisma client npx prisma generate # Run database migrations npx prisma migrate dev # (Optional) Seed database npx prisma db seed

# Start development server npm run dev

model Word {  word String @id @unique  description String  addedByUserId BigInt  addedByName String  createdAt DateTime @default(now()) @db.Timestamptz(3) }

1. Connect Repository: Link your GitHub repository to Vercel
2. Environment Variables: Add all required environment variables in Vercel dashboard
3. Build Settings:
   • Build Command: npm run build
   • Output Directory: api
4. Deploy: Vercel will automatically deploy your bot

After deployment, set your Telegram webhook:

https://api.telegram.org/bot<YOUR_BOT_TOKEN>/setWebhook?url=https://your-vercel-app.vercel.app/api/bot 

The bot includes automated daily tasks:

• Morning Prompt (3:30 AM): Sends motivational quotes and word suggestions
• Evening Recap (5:30 PM): Summarizes all words added during the day

These are configured in vercel.json using Vercel Cron Jobs.

• User Authorization: Only authorized users can access the bot
• Environment Variables: All sensitive data stored securely
• Input Validation: Proper validation for all user inputs
• Error Handling: Comprehensive error handling and logging

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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

If you encounter any issues:

1. Check the Issues page
2. Verify your environment variables are set correctly
3. Ensure your database is properly configured
4. Check the bot logs in Vercel dashboard

• Google Gemini AI for AI-powered word definitions
• Telegram Bot API for bot functionality
• Prisma for database management
• Vercel for hosting and deployment

Happy learning! 📚✨