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Artificial Intelligence · Mini Project
Telegram Bot with Python
Command-driven Telegram bot with natural-language replies
1-2 weeks build
Overview
A working Telegram bot built on the official Bot API. It handles slash commands, inline keyboards and reminders, and free-text messages go through a small intent classifier so the bot can reply to plain questions rather than only commands. User preferences are stored locally and the whole thing ships as a Docker container.
What makes it stand up
- 01Built on the official Telegram Bot API, not an unofficial client
- 02Slash commands, inline keyboards and callback handling
- 03Intent classifier for free-text questions with a fallback
- 04Scheduled reminders stored per user in SQLite
- 05Webhook and long-polling modes with a Docker deployment
Module breakdown
- 01
Bot setup
BotFather registration, token handling and update loop.
- 02
Commands
Command handlers, inline keyboards and conversation states.
- 03
NLP replies
TF-IDF intent model that routes free-text messages.
- 04
Storage
SQLite tables for users, settings and reminders.
- 05
Deployment
Dockerfile, webhook configuration and logging.
After this, you will be able to
- Explain webhooks versus long polling
- Walk through how an update travels from Telegram to your handler
- Demo the bot live on a phone during the viva
Technology stack
- Python
- python-telegram-bot
- scikit-learn
- SQLite
- Docker
- Level
- Mini Project
- Domain
- Artificial Intelligence
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support