In today & dynamic business world, organizations face the constant challenge of optimizing their workforce and ensuring fair compensation practices. To address this critical need, the Comprehensive Compensation Prediction System (CCPS) emerges as a revolutionary solution, offering a data-driven approach to employee compensation prediction. CCPS stands out from traditional compensation prediction tools by seamlessly integrating fuzzy logic-based performance evaluation with regression analysis. This innovative approach overcomes the limitations of traditional models by incorporating both qualitative and quantitative performance metrics, providing a holistic assessment of an employee's contributions. The system's true brilliance lies in its ground breaking blend of fuzzy logic and regression modeling. This unique approach utilizes linguistic terms, degrees of membership, and regression models to deliver contextually aware predictions, ensuring fairness and transparency in compensation decisions. CCPS is committed to open communication, empowering employees with a clear understanding of the factors influencing their compensation predictions. This fosters trust, boosts motivation, and promotes open dialogue within organizations. As organizations strive for fair and equitable compensation practices, CCPS emerges as an invaluable tool. Its innovative features, commitment to transparency, and ability to provide a comprehensive view of employee performance make it a game-changer in the world of compensation prediction. By embracing this revolutionary system, organizations can optimize their workforce, enhance employee satisfaction, and achieve their strategic goals. Moving forward, the framework's continuous learning and refinement process will ensure ongoing accuracy and relevance. By adapting to new data and user feedback, CCPS will establish itself as a reliable compensation prediction tool for diverse organizational contexts