Manage Environmental Impact

AI for Waste Management Optimization uses machine learning to predict waste bin fill levels, optimize collection routes, and reduce operational costs. By analyzing sensor and historical data, it enabl

The Geomorphologic Road Analysis and Inventory Package (GRAIP) software is a set of tools for analyzing the impact of roads on forested watersheds. GRAIP uses information from USFS Global Positioning

The Energy-Management-System-for-Household-Appliances optimizes energy use in homes by predicting appliance demand with machine learning. Key features include automated data processing, model training

Economically Inclusive Models encourage the participation of local community labor through a holistic approach that includes skill development and the foundations of resource management which develops

Smart Waste Management using AI leverages machine learning, IoT sensors, and predictive analytics to optimize waste collection, segregation, and recycling. The system reduces operational costs, minimi

Open Sustainability Info is a framework for managing semantic web representations of environmental impact information (life cycle assessments, carbon footprints...).

Created a 24/7 monitoring system for dumpsters, employing ultrasonic sensors to measure waste levels and infrared sensors to detect dry or wet waste, resulting in optimized waste management processes

Safety is nothing but relative freedom from risk, loss, damage, injury or fatal. In the industrial sector safety is a very precious and important aspect of an Industry or Factory, as an accident or in