Ministry of Rural Development
Browse and strategize across all 10 official problem statements submitted by Ministry of Rural Development for Smart India Hackathon 2026.
Problem Statements (10)
Match My TeamSurvey/Resurvey of Rural Agricultural Land in lndia
Decades-old manual chain-and-tape rural land surveys have caused widespread cadastral boundary errors, unrecorded informal land partitions, and high civil court litigation across rural India. Build a modern digital resurvey platform integrating RTK-DGPS ground control points, high-resolution drone orthomosaics, and automated vector parcel snapping to modernize Record of Rights (RoR) and resolve boundary overlaps.
3D ULPIN Generation and vertical Property Mapping SYstem
Conventional 2D land records cannot represent multi-storey apartments, underground metro utilities, or elevated flyovers, leading to ambiguous property ownership and legal friction in growing cities. Build a volumetric 3D Cadastre and 3D ULPIN (Unique Land Parcel Identification Number) engine that converts architectural BIM/floor plans and LiDAR point clouds into georeferenced 3D volumetric property parcels.
AI-Based Automated Urban Parcel Mapping and Cadastral Feature Extraction System using Drone lmagery
Manual parcel delineation and field ground-truthing in dense Indian urban settlements is exceptionally slow due to complex building footprints, narrow alleys, and irregular encroachments. Build an AI automated cadastral feature extraction platform that processes high-resolution drone orthophotos to segment building footprints, vectorize parcel property lines, and validate topological consistency.
Automated lntegration and lntelligent Harmonization of Multi-source Geospatial Data for urban Land Record Management.
Urban land records in India are scattered across incompatible departmental silos—revenue records, municipal GIS tax layers, utility pipe networks, and drone surveys all have conflicting coordinates and schemas. Build an AI-driven geospatial harmonization platform that automatically geo-references, conflates, and topologically syncs multi-source spatial layers into an authoritative cadastral database.
An lntegrated GIS-based Digital Public lnfrastructure for Land Governance
Land administration in India is fragmented across 28+ states with completely disparate data schemas, record formats, and administrative workflows. Build 'Land Stack'—an open, modular Digital Public Infrastructure (DPI) for land governance that unifies georeferenced cadastral base layers (ULPIN), essential ownership rights (RoR/registration/master plans), and citizen services via standardized open APIs.
Application of Geospatial Techniques for visualization and analysis to interpret Geo-Coded lmages to enhance watershed Development Outcomes.
Watershed development monitoring in rural India relies on manual documentation while thousands of geotagged field photos remain unlinked to satellite observations. Build an integrated geospatial watershed analytics platform combining 30-meter SRISHTI-DRISHTI / Landsat satellite imagery with field-collected geocoded photos to track water conservation check-dam impacts, vegetation greening (NDVI), and soil moisture changes over time.
Real-Time National Land Acquisition & Management System for End-to-End Digital Monitoring and Decision Support
National infrastructure projects (highways, railways, industrial corridors) suffer massive delays and cost overruns due to disconnected manual land acquisition tracking across central ministries, states, and district collectors. Build a real-time National Land Acquisition & Management portal providing end-to-end digital lifecycle workflows—from Section 4 notifications and social impact assessments to direct benefit transfer (DBT) compensation disbursement and possession handover.
Predictive Analytics System for Early Detection of Land Acquisition Delays
Infrastructure projects in India experience unforeseen land acquisition delays averaging 18 to 36 months, inflating project budgets without early warning. Build an AI predictive decision-support system analyzing historical project variables (litigation rates, compensation gaps, forest clearances, district administrative throughput) to forecast delay probabilities at each stage of the acquisition lifecycle and recommend targeted mitigation actions.
Intelligent Land Record Digitization and Validation System
Centuries of historical Indian land records exist in fragile handwritten registers, faded Urdu/Modi/Devanagari scripts, and degraded scanned PDFs that conventional OCR cannot read. Build an intelligent document processing platform combining multilingual vision-language models (VLM/OCR), layout segmentation, and automated revenue rule validation to extract structured Khasra/Khata landowner records and flag forgery or clerical errors.
National Digital Platform for Research, Policy Innovation, and Evidence-Based Land Governance
Land governance research, policy evaluation, and geospatial datasets in India remain locked in institutional silos, preventing policymakers from simulating reforms before enacting legislation. Build an AI-enabled National Land Research & Policy Innovation platform featuring an open data repository, interactive GIS policy impact visualizers, and macro-simulation sandboxes to evaluate land reform policies (e.g. tenancy formalization, agricultural zoning, urban conversion).