Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.

Waste classification system using MobileNetV2 transfer learning. Flask web app with upload, camera capture, and batch processing for 7 waste categories

A deep learning project implementing YOLOv8 for multi-class waste detection and classification using the TACO dataset.

Deep learning system for climate change analysis using satellite imagery and weather data. Predicts natural disasters, monitors deforestation, tracks glacier melting, and analyzes urban heat islands.

Deep learning models for automated waste classification using computer vision techniques for environmental sustainability

AI-powered environmental sustainability analysis using satellite imagery and deep learning

This notebook implements a deep learning-based image classification system for identifying different types of garbage (e.g., plastic, paper, metal). It includes custom image preprocessing functions and prepares the dataset for model training.