Smart Search is an AI-driven web scraper search engine that uses multiple API engines to deliver results. It utilizes a IDefaultStrategy Pattern to pre-process user requests, query API databases, and post-process results. Currently, the GPT-3
API has been integrated, with WolframAlpha and other models to be added in the near future.

The goal of this project is to use Artificial Intelligence to extend the capability of the scraper and learn how to leverage the power of AI across different domains. For this purpose, Cordova is adopted to build a scalable, cross-platform architecture.

Selecting an appropriate design pattern is paramount in achieving the desired result. Chain of Responsibility (CoR), while useful to separate responsibility into smaller objects and make development and maintenance easier, cannot adapt quickly enough to changing business needs and market trends. Thus, the IDefaultStrategy Behavior Pattern was selected instead.

This pattern allows for more fine-grained control over how a request is responded to. It defines a set of algorithms or strategies that can be used for responding to requests, and selects the most appropriate one at run-time. This is more suitable for scenarios where a family of algorithms and models may be utilized and swapped for each other on-the-fly.

Overall, Smart Search utilizes AI technologies to deliver intelligent search results that are more accurate and reliable. The use of a IDefaultStrategy Design Pattern allows for customizable and flexible results that could be quickly adapted in response to changing business needs and market trends.

Figure 1 is the initial implementation of the IDefaultStrategy Behavior Pattern. We will be adding and updating as the project evolves.

Note: Click here for a detailed UML