Foofoo coders

Inspiration Our team was inspired to create the Amazon Sustainability Claim Analyzer after noticing the increasing focus on corporate environmental responsibility. We wanted to develop a tool that could quickly and objectively assess the accuracy of sustainability claims made by large corporations like Amazon.

What we learned Through this project, we gained valuable insights into:

Web scraping techniques to extract information from corporate websites

Integrating AI models (Perplexity API) for text analysis and fact-checking

Developing Chrome extensions to enhance user browsing experience

The complexities of corporate sustainability reporting and the importance of critical analysis

How we built it We built our project using:

Flask for the backend API

Python for web scraping and data processing

Perplexity AI API for claim analysis

HTML, CSS, and JavaScript for the Chrome extension frontend

Challenges we faced Some key challenges included:

Accurately extracting relevant information from complex web pages

Calibrating the AI model to provide balanced and nuanced assessments

Designing a user-friendly interface within the constraints of a Chrome extension

Ensuring consistency in the AI's output while maintaining accuracy

Built with Flask

Python

Perplexity AI API

HTML/CSS/JavaScript

Chrome Extension API https://docs.google.com/presentation/d/1EGe_uXhvnK7aS2Hf9fR8Vo5oUo3hKKIm/edit?usp=drive_link&ouid=102622895449644020397&rtpof=true&sd=true

Built With

• flask