This repository hosts a deep learning-powered solution to detect the presence of a batch card on a person using images. Built with TensorFlow and deployed using Streamlit, this app provides accurate predictions and a user-friendly interface.
- Detects whether a person is wearing a batch card.
- Trained on custom-labeled datasets for high accuracy.
- Intuitive Streamlit-based user interface.
- Easily customizable and extendable.
Upload an image to check if a batch card is detected:
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Clone this repository:
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Navigate to the project directory:
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Install dependencies:
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Model Training: The model was trained using TensorFlow on a custom dataset with two classes:
Batch Card PresentNo Batch Card Detected
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Inference: The app preprocesses the uploaded image and uses the trained model to predict the presence of a batch card.
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Streamlit UI: Provides an intuitive interface for uploading images and viewing predictions.
I’m Ahmad Ali Rafique, a 20-year-old AI & Machine Learning Specialist with expertise in deep learning, natural language processing, and computer vision.
- 💻 Check out my GitHub portfolio for more projects.
- 🌐 Visit my Upwork profile to collaborate on AI/ML solutions.
- 📫 Contact me at ahmadalirafique786@gmail.com.
- Deep Learning: CNNs, RNNs, and Transformer models.
- Computer Vision: Image classification, object detection, and facial recognition.
- Tools & Frameworks: TensorFlow, PyTorch, Streamlit, OpenCV.
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Contributions are welcome! If you find a bug or want to improve this app, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.