Our Cervical Cancer Analysis project leverages the power of EfficientNetB0 to accurately classify different types of cer...

Skin Cancer Detection project leverages advanced deep learning models, including CNN, DenseNet121, and EfficientNetB4, t...

Our Blood Cell Classification project uses CNN, EfficientNetB4, and VGG16 models to correctly sort blood cell images. Th...

Glaucoma Detection Using Deep Learning uses AI to find early signs of glaucoma in eye images. This helps doctors diagnos...

Our project uses deep learning to detect leaf diseases from images. By training models like VGG16 and EfficientNet on a...

Banana Leaf Disease Detection leverages Deep Learning and Computer Vision to identify plant diseases early, helping farm...

This project utilizes YOLOv8 to build a crop disease detection and classification system in Google Colab. The system pro...

Automatic Eye Cataract Detection is an AI-based tool leveraging YOLOv8 for precise and quick cataract diagnosis, enhanci...

Classify mental health statements using NLP and ML techniques. Includes preprocessing, TF-IDF, XGBoost, Random Over-Samp...

Predict Healthcare trends using Gaussian Process Regression. Understand preprocessing, modeling, and evaluation techniqu...