Build a Telegram Bot for Object Detection using YOLO | Python + OpenCV + Ultralytics
🎯 Telegram Bot for Object Detection using YOLO + Python
In this video, I’ll walk you through how to build a Telegram Bot that performs object detection on images using YOLO models.
The bot allows users to select from multiple trained models (like Brain Tumor, Number Plate, Pothole, Fruits, and more) and automatically detects objects when an image is sent!
You’ll learn how to:
✅ Integrate YOLO models in a Telegram bot
✅ Build an interactive UI with buttons for model selection
✅ Perform object detection directly from Telegram
✅ Send back detection results with bounding boxes
✅ Use Python libraries like OpenCV, PIL, and Ultralytics
This video gives you a full walkthrough — from setting up the bot to running detection on real images. Perfect for those exploring AI + Telegram integration or real-time object detection applications!
📂 GitHub Repository: https://github.com/NitinCVOrbit/Multi...
🧰 Tech Stack:
Python
Ultralytics YOLO
OpenCV
Telegram Bot API
PIL
🎬 Watch till the end to see how the bot detects objects from images in real time!
#AI
#DeepLearning
#MachineLearning
#YOLOv8
#ComputerVision
#PythonProjects
#TelegramBot
#ObjectDetection
#Ultralytics
#OpenCV
#ArtificialIntelligence
#AIProjects
#DeepLearningProjects
#YOLO
#ModelDeployment
#EndToEndAI
#NeuralNetworks