This project is a custom search engine developed using Flask, HTML, and CSS, integrating Google, Bing, and Yahoo search APIs. It aims to provide efficient and enhanced search capabilities by leveraging various algorithms and metrics for refining search result rankings and improving the user experience.
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Integration of Multiple Search APIs: The search engine integrates Google, Bing, and Yahoo search APIs to provide comprehensive search results to users.
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MySQL Database Architecture: A MySQL database architecture has been designed to ensure efficient storage and retrieval of URLs, enhancing the performance of the search engine.
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Algorithm Development: Advanced algorithms have been engineered for extracting data from URLs, improving the quality of search results. These algorithms take into account various metrics such as keyword lengths, Mean Reciprocal Rank, and Mean Average Precision to refine search result rankings.
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Enhanced User Experience: By utilizing metrics and algorithms, the search engine aims to improve the overall user experience by providing more relevant and accurate search results.
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Flask: Flask is used as the web framework for building the search engine application.
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HTML: HTML is utilized for creating the structure and content of the web pages.
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CSS: CSS is used for styling the user interface, providing a visually appealing experience to users.
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MySQL: MySQL is employed for designing the database architecture, ensuring efficient storage and retrieval of URLs.
To run the custom search engine locally:
- Clone this repository to your local machine.
- Run the Flask application.
- Access the search engine through the provided URL.
Contributions to improve and enhance the custom search engine are welcome. If you have any suggestions, ideas, or bug fixes, feel free to open an issue or submit a pull request.