Build a Telegram AI Image Classification Bot with YOLO | Deep Learning Project in Python
🧠 Telegram AI Classification Bot using YOLO | Multi-Model Image Classifier
In this video, I’ll walk you through how to build an AI-powered Telegram bot capable of classifying images into multiple categories using YOLO. 🚀
This bot allows users to select from multiple trained models (like Brain Tumor, Pneumonia, Face Emotions, Nature Scenes, etc.) directly within Telegram — and then get instant predictions just by sending an image! 📲
🔍 What You’ll Learn:
How to create an interactive Telegram bot using Python & python-telegram-bot
How to handle inline keyboards for dynamic model selection
How to process and classify images using YOLO
How to integrate multiple deep learning models into one Telegram bot
How to display classification results (label + confidence score) to users
⚙️ Tech Stack Used:
Python 🐍
python-telegram-bot
ultralytics
PIL (Image Processing)
Async/Await for smooth bot operation
💡 Supported Models:
Brain Tumor Detection 🧠
Chest X-ray (Pneumonia Classification) 🫁
Face Emotion Recognition 😀
Flower Classification 🌼
Nature Scene Classification 🌄
Rock Paper Scissors Game ✋✊✌️
Each model is automatically loaded from the Weights directory when selected.
📁 GitHub Repository
👉 GitHub Link : https://github.com/NitinCVOrbit/Build...
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