This repository contains the code for a web application that leverages the power of Gemini, a large language model from Google AI, combined with web scraping techniques to unlock valuable insights from web data.
Collecting and analyzing data from websites can be time-consuming and error-prone. This project aims to streamline this workflow by offering the following functionalities:
- Data Extraction: Automate data collection from websites using web scraping techniques.
- Data Analysis: It utilizes its NLP capabilities to analyze the extracted information, identifying patterns, trends, and sentiments within the text data.
- Clear and Concise Insights: The application translates complex data analysis into clear, actionable reports.
This project is currently under development. I'll be adding instructions on how to set up and run the application soon.
- Data collection from websites.
- Functionality to define specific data extraction criteria through a user interface.
- NLP analysis of extracted data using Gemini.
- Report generation with key findings and insights.
- Interactive visualizations (planned future development).
Contributions to this project are welcome! If you're interested in helping out, feel free to fork the repository and submit a pull request.
This project is licensed under the MIT License (see LICENSE for details).