The project aims to develop an AI-driven tool that analyzes a large body of text to assess the cultural fit against predefined organizational values, attributes, and beliefs. By leveraging natural language processing (NLP) and sentiment analysis, the system will evaluate the alignment of perspectives and communication styles with the desired cultural traits. This project will leverage NLP and machine learning models for text analysis. Key activities will include: • Text Analysis Capabilities: Implement NLP techniques to process and analyze large volumes of text. • Cultural Values Database: Establish a database containing predefined organizational values, attributes, and beliefs for comparison. • Scoring Algorithm: Develop an algorithm to assess and score cultural fit based on text analysis results. • User Interface: Create an intuitive interface for users to upload text and view assessment results. • Reporting Features: Generate comprehensive reports summarizing findings and providing insights into cultural alignment.
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