The Land Price Predicting System is a Web-Based Application tool built for predicting land prices through Machine Learning. Predicted property values can be established through input variables like location, geographical Area type, and District. The dataset used in this analysis was created using Real Estate datasets compiled from 10 different Districts to guarantee accurate predictive power. The system uses a MySQL database, which is a relational database management system, to store the required data digitally and efficiently. The use of various ML algorithms such as Linear Regression, Decision Trees, and Random Forest will increase the accuracy of the predictions. Generating and saving summary results as PDF files are also included as features in the proposed system for documentation. The proposed system was developed to deliver an efficient, reliable, and user-friendly means of estimating land values. The system is intended to assist buyers/sellers/Real Estate analysts in making better-informed decisions through data-driven insight. Future enhancements of the system will include added real-time data sources and improved prediction models for better overall performance.