Description:TITLE OF INVENTION
Waste management utilizing big data for efficient recycling programs

FIELD OF INVENTION
The present invention generally relates to the field of big data, particularly to big data for recycling. More particularly, the present invention relates to a waste management utilizing big data for efficient recycling programs.

BACKGROUND OF INVENTION

CN113469628 – “Big data comprehensive management and control system for real-time supervision of liquefied hazardous waste transportation” describes “A big data comprehensive management and control system for real-time supervision of liquefied hazardous waste transportation consists of a liquefied hazardous waste collection management module, a liquefied hazardous waste supervision operation control module and a liquefied hazardous waste management big data application module, and is characterized in that the liquefied hazardous waste collection management module is used for integrally performing information collection and management and control on warehousing, recovery and transportation of liquefied hazardous wastes; the liquefied hazardous waste collection management module can carry out warehousing, recovery and transportation on liquefied hazardous waste through a GPS positioning tracker, and carries out whole-course position information real-time positioning; information data are transmitted back in real time through the GPRS data transmitter; the liquefied hazardous waste supervision operation control module is used for carrying out comprehensive operation for related departments and enterprises for liquefied hazardous waste production, collection and transportation in the liquefied hazardous waste management process; and the liquefied hazardous waste management big data application module is used for managing data obtained by integrating all collection, transportation and reprocessing processes of liquefied hazardous waste and comprehensive data under multi-aspect supervision.”

None of the above-mentioned prior arts neither teaches nor discloses about a waste management utilizing big data for efficient recycling programs.
OBJECTS OF INVENTION
One or more of the problems of the conventional prior art may be overcome by various embodiments of the system of present invention.

It is the primary object of the present invention is a waste management utilizing big data for efficient recycling programs

SUMMARY OF INVENTION
It is an aspect of the present invention is a waste management utilizing big data for efficient recycling programs

DETAILED DESCRIPTION OF THE INVENTION WITH REFERENCE TO THE ACCOMPANYING FIGURES
The present invention as herein described about contemporary urban areas encounter major challenges in waste management as a result of growing populations and rising consumption levels. The "Waste Management 2.0: Utilizing Big Data for Efficient Recycling Programs" project introduces a novel strategy for recycling and waste management through the integration of big data analytics and IoT technologies. This initiative seeks to enhance recycling processes, minimize environmental effects, and promote sustainable urban living. Intelligent sensors and IoT devices will be deployed at different waste collection locations to collect real-time data on waste production and recycling efforts. Sophisticated data analytics will analyze this data to uncover trends, predict future waste quantities, and optimize collection routes and schedules. This information will enable cities and waste management organizations to use resources more effectively, improving overall operational efficiency. The project will create an interactive platform for residents and businesses that delivers personalized feedback and incentives to encourage better recycling habits. A mobile application will provide educational materials on appropriate recycling methods, monitor user contributions, and reward active participation. To evaluate the success of the program, environmental impact assessments will be carried out to focus on declines in landfill waste and carbon emissions. Working in partnership with local governments and environmental organizations will help ensure adherence to regulatory standards while aligning with community objectives. A pilot phase will be initiated in designated urban areas to assess the system's performance, scalability, and user acceptance. By utilizing big data and IoT technologies, this project seeks to establish a sustainable, replicable, and efficient waste management model for cities around the globe, fostering a cleaner and more sustainable environment.
, Claims:WE CLAIM:
1. A waste management utilizing big data for efficient recycling programs, a method claim, wherein, sophisticated data analytics analysis data to uncover trends, predict future waste quantities, and optimize collection routes and schedules and this information enable cities and waste management organizations to use resources more effectively, improving overall operational efficiency,
wherein, create an interactive platform for residents and businesses that delivers personalized feedback and incentives to encourage better recycling habits and a mobile application will provide educational materials on appropriate recycling methods, monitor user contributions, and reward active participation.