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Welcome to my PolyBot Image Prediction Bot Hello and welcome! PolyBot is a Telegram bot designed to help you analyze images and provide predictions based on advanced machine learning models. Follow the instructions below to start using PolyBot and see the magic happen!

How to Use PolyBot Connect to PolyBot on Telegram:

Open the Telegram app on your device. Search for PolyBot or use the following link to connect: PolyBot Telegram Link (Replace # with your bot's link). Upload a Photo:

Once connected, simply upload a photo that you want to analyze to the PolyBot chat. Receive Predictions:

PolyBot will process your image using state-of-the-art machine learning models. In a few moments, you'll receive a prediction along with an annotated image indicating the results. Example Here are some examples of the kind of predictions you can expect from PolyBot:

Before Prediction (Insert a photo here showing the image before prediction)

After Prediction (Insert a photo here showing the image with predictions and annotations)

What Happens Behind the Scenes When you upload a photo to PolyBot, here's what happens behind the scenes:

Image Reception:

The image is sent to our server where it is processed by a Dockerized machine learning model. Prediction Process:

The model analyzes the image using YOLO (You Only Look Once), a cutting-edge object detection algorithm. The model predicts various elements within the image, such as objects, people, and other entities. Annotated Image Generation:

The results are then used to generate an annotated image highlighting the detected objects and their respective labels. Response to User:

The annotated image along with the prediction details are sent back to you via the Telegram bot. Technical Details Machine Learning Models: We use YOLOv5 for real-time object detection. Infrastructure: The bot and the models are hosted using Docker containers for scalable and isolated environments. Programming Languages: The backend is developed using Python, leveraging libraries such as PyTorch for machine learning. Environment Variables To run this project locally, ensure you have the following environment variables set:

MONGO_IMAGE: MongoDB Docker image. POLYBOT_IMG_NAME: PolyBot Docker image. YOLO5_IMG_NAME: YOLOv5 Docker image. TELEGRAM_TOKEN: Token for accessing the Telegram Bot API. Getting Started Locally If you want to set up this project on your local machine, follow these steps:

Clone the Repository:

bash Copy code git clone https://github.com/your-username/PolyBot.git cd PolyBot Set Environment Variables:

Add the required environment variables to your system or a .env file. Run Docker Compose:

bash Copy code docker-compose up -d Test the Bot:

Ensure the bot is running and connect to it via Telegram using the link provided above. Contributing We welcome contributions! If you'd like to contribute to this project, please fork the repository and submit a pull request.

License This project is licensed under the MIT License.