National Digital Platform for Research, Policy Innovation, and Evidence-Based Land Governance
“This problem asks for a unified digital platform where researchers, policy makers, and government officials can access land data, simulate policy changes, analyze GIS maps, and collaborate on evidence-based land governance across India.”
Deconstructed Problem Blueprint
WHAT TO BUILD?
An AI-enabled national digital repository, GIS visualization portal, policy simulation engine, and research collaboration platform for land governance.
WHO IS IT FOR?
Department of Land Resources (DoLR), Ministry of Rural Development, academic institutions, urban/rural planners, land revenue departments, policy researchers, and citizens.
WHY DOES IT EXIST?
Land data (cadastral maps, satellite imagery, dispute records, policy papers) is fragmented across state and central departments, preventing evidence-based policy formulation and cross-institutional research collaboration.
INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE
Satellite imagery (Sentinel/ISRO Bhuvan), cadastral map layers (ULPIN data), policy PDFs, research papers, socio-economic census data, and land dispute datasets.
RAG-based AI search & literature synthesis, spatial data overlay via GIS engines, policy impact forecasting via simulation algorithms, and RBAC authentication workflows.
Interactive GIS dashboards, policy simulation outcome reports, AI-generated literature summaries, collaborative workspaces, and open APIs for institutional integration.
CONSTRAINTS
- Strict multi-tenant security and Role-Based Access Control (RBAC) across government and public roles
- Handling heterogeneous, unstandardized spatial and land record data formats across Indian states
- Ensuring real-time map rendering and low latency for large vector spatial layers
- High compliance with national geospatial policy and data privacy regulations
JURY METRICS
- RAG search accuracy & synthesis relevance score
- GIS map rendering latency (<1.5 seconds for complex spatial overlays)
- Policy simulation responsiveness and parameter customizability
- API response time and integration ease
- UI/UX simplicity for non-technical policymakers
CORE BOTTLENECK
Harmonizing fragmented raster, vector, and unstructured text datasets (cadastral maps, satellite imagery, legal PDFs) into a unified, high-performance spatial-analytical database engine.
Why You Should Choose This PS (Pros)
- High priority domain directly aligned with Ministry of Rural Development's flagship initiatives like Digital India Land Records Modernization Programme (DILRMP) and ULPIN
- Extensive scope allows teams to demonstrate high-value technologies like AI RAG, GIS modeling, and predictive simulation
- Massive winning potential if a functional end-to-end prototype with interactive GIS and AI simulation is presented
Challenges & Risks to Watch (Cons)
- Broad scope with 12+ sub-requirements that can easily overwhelm a team in a 36-hour hackathon
- Acquiring realistic, high-resolution GIS cadastral datasets for multiple Indian states during preparation can be challenging
Recommended Tech Stack & Grand Finale Features
Killer Features to Impress the SIH Jury
View Official SIH 2026 Portal Raw Text▼
Land is a finite and strategic resource that underpins economic development, environmental sustainability, food security, urban expansion, and social equity. Effective land governance is therefore critical to achieving sustainable development goals and supporting India's rapidly evolving socio-economic landscape. However, the land administration ecosystem in India remains largely implementation-oriented, with limited institutional focus on applied research, policy experimentation, and evidence-based innovation.
Develop a comprehensive National Digital Platform for Research and Policy Innovation that promotes applied research, policy experimentation, knowledge sharing, and evidence-based decision-making in land governance.
The platform should function as a centralized repository and collaborative ecosystem that integrates datasets, research publications, policy documents, geospatial information, analytical tools, and case studies from various government departments, academic institutions, and research organizations.
Scope of the Study:
There is a pressing need for a dedicated digital platform that serves as a national knowledge ecosystem for researchers, policymakers, government agencies, academic institutions, and industry experts to collaborate, conduct research, evaluate policies, and develop innovative solutions for strengthening land governance across the country.
Add 'Scope of Study' Table here Problems:
Emerging challenges such as climate change, rapid urbanization, urban-rural land transitions, increasing land disputes, sustainable land use planning, geospatial governance, and digital transformation require continuous research and innovative policy interventions. Despite the availability of vast datasets generated through land records, cadastral surveys, satellite imagery, GIS platforms, and government programmes, these resources remain underutilized for generating actionable insights and supporting informed policymaking.
The proposed solution should be a secure, scalable, AI-enabled National Research and Policy Innovation Platform that strengthens evidence-based land governance through collaborative research, advanced analytics, and digital knowledge management.
The platform should provide:
The platform should establish a sustainable national ecosystem for applied research and policy innovation, enabling evidence-based decision-making, fostering interdisciplinary collaboration, accelerating technological adoption, and supporting resilient, transparent, and future-ready land governance in India.
Add 'Suggested components-wise technology' table here