I will build a deep learning model for image classification or detection

I build deep learning models going beyond basic machine learning to work with neural networks on complex, high-dimensional data like images.

Recent project: I trained a plant disease detection model on 87,000+ real leaf images (PlantVillage dataset), using ResNet50 combined with a CBAM attention mechanism to boost accuracy. I also designed the architecture to extend into YOLOv8-based object detection for future real-time use.

What I can build for you:

- Image classification (product quality, medical/agricultural imaging, defect detection)

- Object detection (YOLO-based)

- Transfer learning on pretrained architectures (ResNet, EfficientNet, etc.)

- Custom neural network design and training

- Image preprocessing & augmentation pipelines

- Model evaluation with accuracy/precision/recall reporting

Tech: PyTorch, TensorFlow, OpenCV, ResNet, CBAM attention, YOLOv8, Keras

Why work with me: Hands-on deep learning internship experience (TechSaksham, backed by Microsoft & SAP). I train on real, large-scale datasets and use modern techniques like attention mechanisms not just basic CNNs.

Message me with your dataset and use case before ordering.