diff --git a/README.md b/README.md index c45deb2..5ac384e 100644 --- a/README.md +++ b/README.md @@ -4,20 +4,20 @@ This project is very early in development and does not have a release. Please use at your own risk. ## Background -The onset of the pandemic gave rise to the popularity of online shopping. In a survey cited by Balinbin (2021) focusing on changes in consumer behavior, around 90% of Filipinos would find online shopping convenient and price-friendly. Other factors mentioned in the study included the success of online live selling and the ability to communicate with sellers through these platforms. Hence, many e-commerce platforms primarily cater to teenagers and working adults, with its users already familiar with using the internet and are comfortable using these new platforms. +The onset of the pandemic gave rise to the popularity of online shopping. In a survey cited by Balinbin (2021) focusing on changes in consumer behavior, around 90% of Filipinos would find online shopping convenient and price-friendly. Other factors mentioned in the study included the success of online live selling and the ability to communicate with sellers through these platforms. Since most teenagers and working adults have access to mobile devices and internet, many e-commerce platforms primarily cater to this demographic through their tie-ins with social media or at least its trends. -Unfortunately, there is a frequent presence of fake or misleading products within these platforms. These typically abuse the platform’s price-focused interface and use clickbait titles paired with vague or non-English descriptions, resulting in an information asymmetry and preventing some customers from purchasing correctly. This refers to "shanzhai" products that are labelled as authentic to what they are knocking off or low quality products compared against branded products. -Worse, they are also often placed between these legitimate and adequately labeled products, increasing the difficulty and wasting customers’ time. As the friends have pointed out, the platforms also do not address the identified problem effectively. +Unfrotunately, it seems that the purchasing-centered interface has led to dominance of fake or misleading products within these platforms. These products use clickbait titles paired with vague or non-English descriptions, resulting in an information asymmetry and preventing some customers from purchasing correctly. Worse, they are also often placed between legitimate and properly-labeled products, increasing the difficulty and possibly wasting customers’ time. This does not only apply to knockoff or "山寨" products but also on other low-quality products in general. -What if we could enhance the current system through a web extension that seamlessly integrates with the shopping websites? Artificial intelligence, specifically language learning models such as GPT, will play a significant role in this extension since it has become increasingly versatile. This is useful as they can increase clarity on specific ideas and suggest certain actions. With this, the LLM can create better descriptions of products initially labeled vaguely and provide analysis and ratings considering all customer- and seller-provided product information. When all results are displayed at the proper location, users can be warned if the product is fraudulent or urged to raise necessary skepticism. +What if we could enhance the current system through a web extension that seamlessly integrates with the shopping websites? Introducing ShopAI, a severless solution where artificial intelligence meets online shopping platforms! ## Features -- [ ] Get the available data of a specific product from the e-commerce page, adblock-like. -- [ ] Generate comprehensive AI-generated information regarding the selected product. +- [ ] Get the data of a selected product from the e-commerce page through filters. +- [ ] Generate information of the product through Google Gemini’s API. - [ ] Display the generated information within the e-commerce page. -- [ ] The product information and its AI analysis are stored in the browser cache. -- [ ] The product information and AI analysis are stored in the online database. -- [ ] A help feature is available to instruct users on how to use the extension. +- [ ] Download and update filters automatically and manually. +- [X] Synchronize extension preferences across the browser synchronization instance. +- [ ] Store the product information and the analysis. +- [X] Provide help features to instruct users on extension usage. ## Installation The extension is available via this repository's releases, and it is compatible wherever you find an extensions market. We hope to make this available on the Chrome Web Store or the Microsoft Add-Ons Store.