Accessing information from documentation websites can be a cumbersome process, especially when users need specific details. Traditional search methods might not always yield optimal results, leading to frustration and time wastage. Users often prefer a conversational interface to interact with documentation, making the information retrieval process more intuitive and efficient.
Solution
Our proposed solution aims to develop an AI-driven application that leverages OpenAI's API to enable conversational queries about static website content, with a primary focus on documentation and learning websites. The application will have a user-friendly interface .consisting of two input fields – one for entering the webpage link and another for the query. The system will extract the relevant HTML content from the specified webpage, send it to the OpenAI API along with the user's query, and present the user with the most relevant information in a conversational format.
Use Cases
Developers: Easily access specific details and examples from documentation websites without manually searching through lengthy documents.
Students: Streamline the learning process by asking questions about programming concepts or other educational content in a conversational manner.
Problem Statement
Accessing information from documentation websites can be a cumbersome process, especially when users need specific details. Traditional search methods might not always yield optimal results, leading to frustration and time wastage. Users often prefer a conversational interface to interact with documentation, making the information retrieval process more intuitive and efficient.
Solution
Our proposed solution aims to develop an AI-driven application that leverages OpenAI's API to enable conversational queries about static website content, with a primary focus on documentation and learning websites. The application will have a user-friendly interface .consisting of two input fields – one for entering the webpage link and another for the query. The system will extract the relevant HTML content from the specified webpage, send it to the OpenAI API along with the user's query, and present the user with the most relevant information in a conversational format.
Use Cases
Team