AI based Website Surfer

Natural Language Processing (NLP) Integration:

-Utilizing advanced NLP techniques to comprehend and interpret user text prompts in a human-like manner.

Customizable Text Prompts:

-Allowing users to input specific text prompts tailored to their data retrieval needs.

-Guiding users on constructing effective text prompts for accurate results.

Web Crawling and Data Extraction:

-Implementing web crawling algorithms to navigate and scan targeted websites in response to user prompts.

-Extracting relevant data based on the context and intent conveyed in the prompts.

Data Filtering and Categorization:

-Sorting and categorizing extracted data into relevant segments based on specified criteria.

-Providing filtering options to refine the extracted data according to user preferences.

Real-Time Preview and Verification:

-Offering users a real-time preview of the data being extracted to ensure accuracy and relevance.

-Allowing users to verify and adjust text prompts if needed to refine results.

Machine Learning for Continuous Improvement:

-Implementing machine learning algorithms to continuously enhance the system's understanding and response to user prompts.

-Learning from user interactions to optimize data extraction and improve accuracy over time.

Multi-Platform Accessibility:

-Designing a responsive web interface accessible across various devices, ensuring a consistent user experience