Catalyzing Urban Logistics and Road Safety: Truck Recommendation System and Real-Time Accident Severity Prediction

The Truck Booking Recommendation System, aims to optimize urban logistics by automating the truck selection process, employing advanced algorithms and data-driven insights. It analyzes historical data, customer feedback, and cost optimization to generate accurate and efficient truck recommendations, thereby improving efficiency, cost savings, and overall customer satisfaction in the urban logistics industry. Accident Severity Prediction System, takes a proactive approach to road safety, utilizing a RandomForest classifier to predict accident outcomes based on real-time and historical traffic data, weather conditions, and road characteristics. This system aids in faster response times for emergency services, law enforcement, and transportation authorities, ultimately reducing the severity of accidents and their consequences. Both systems, when integrated into a single web application, offer a comprehensive solution for enhancing the efficiency of cargo transport and road safety, benefiting logistics providers, fleet managers, and the public.