Crop Disease Detection
Developed a CNN-based image classification project using Python, PyTorch, OpenCV, NumPy, Pandas, and Scikit-learn to identify potential crop diseases from uploaded leaf images. Implemented image preprocessing including resizing, noise reduction, normalization, and contrast enhancement, and trained and validated the model on agricultural image datasets.