Search Engines are simple information retrieval systems designed to mimic search engines. It generates several documents with random single-letter words, allowing users to enter queries and utilize the Statistical model and Vector space model to retrieve and rank the relevant documents.
- Statistical Model: Utilize statistical methods to analyze and retrieve documents based on query relevance.
- Vector Space Model: Employ vector space techniques to determine document relevance to the query.
- Python Flask Web Application: Includes a user-friendly interface to interact with the information retrieval system.
- PHP API: Provides a Core PHP API for easy integration and usage.
- Python: Backend logic implemented using Python for efficient data processing.
- Flask: Developed a web application using Flask to provide a seamless user experience.
- PHP: Created a robust API using Core PHP to extend functionality and allow integration with other systems.