Land records form the backbone of land administration, property ownership, taxation, land acquisition, dispute resolution, and infrastructure planning. Across India, a significant portion of historical land records continues to exist in the form of handwritten registers, scanned documents, maps, cadastral records, and legacy PDF files maintained at various administrative levels. An intelligent digitization system can significantly improve data quality while accelerating the modernization of Indi
of the Study: Develop an AI-powered Intelligent Land Record Digitization and Validation System that can automatically extracting structured information from scanned land records, handwritten documents, maps, and...
Land records form the backbone of land administration, property ownership, taxation, land acquisition, dispute resolution, and infrastructure planning Across India, a significant portion of historical land records continues to exist in the form of handwritten registers, scanned documents, maps, cadastral records, and legacy PDF files maintained... An intelligent digitization system can significantly improve data quality while accelerating the modernization of Indi
of the Study: Develop an AI-powered Intelligent Land Record Digitization and Validation System that can automatically extracting structured information from scanned land records, handwritten documents, maps, and legacy PDF files. The proposed solution should utilize advanced OCR, Computer Vision, and Natural Language Processing techniques to recognize printed as well as handwritten text in multiple Indian languages. The extracted information should be intelligently classified into predefined fields such as landowner details, survey number, khasra number, khata number, plot area, village, tehsil, district, land classification, ownership details, mutation records, and registration information. The system should provide a user-friendly interface for document upload, automated processing,