TrashGPT

This project aims to utilize GPTVision AI to identify and track brands most responsible for litter in California, aligning with the recently enacted Extended Producer Responsibility (EPR) legislation. The state of California has recently passed progressive EPR legislation, which holds producers accountable for the end-of-life impact of their products, including litter.

Our approach involves the following key components:

Data Collection: Deploy AI-powered image recognition systems in various environments across California to capture images of litter. These systems will be strategically placed in areas known for high litter rates, such as urban streets, parks, and beaches.

Image Analysis: Utilize GPTVision to analyze the collected images. The AI will be trained to recognize and classify littered items, identifying the brands and types of products.

Brand Identification: The AI system will focus on accurately identifying brand logos, packaging styles, and other unique identifiers to attribute litter to specific companies. This step is crucial in linking the litter directly to the producers.

Data Reporting and Analysis: Compile and analyze the data to determine which brands are most frequently found as litter. This information will be critical in understanding the landscape of litter in California and identifying key contributors.

Compliance with EPR Legislation: Align the project's findings with the requirements of California's EPR legislation. The data will be used to hold brands accountable, encouraging them to take responsibility for their products throughout their entire lifecycle, including post-consumer waste management.

Stakeholder Engagement: Collaborate with government agencies, environmental organizations, and the brands themselves. This project aims not just to identify the most littered brands but also to work with these entities to find sustainable solutions and reduce litter.

Public Awareness and Policy Impact: Utilize the findings to raise public awareness about littering and its impacts. The project will also provide valuable insights to policymakers to refine and strengthen EPR-related laws and regulations.

Overall, this project seeks to leverage AI technology for environmental conservation and to support the state of California in enforcing its pioneering Extended Producer Responsibility legislation. By identifying the major contributors to litter, the project will promote environmental cleanliness and encourage responsible production and consumption patterns.

Built With

• chatgpt4
• llava1.5
• openai
• visionapi