| Sanction Date: | 15.12.2025 | |||
| Project Category | Category I | |||
| Year | 2025-2026 | |||
| Project Duration | 3 Years | |||
| BTA : | PC | |||
| Project Site/ State/ Districts/ Villages Covered: |
Nagaland, Indian Himalayan Region (IHR) – Districts: Kiphire, Wokha, Chümoukedima (15 village, 5 Village clusters Per District). |
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| Organization/ Implementation Agency: | Department of Computer Science and Engineering, NIT-Nagaland, Nagaland | |||
| Project Partners: | S.No. | Name | ||
| 1. | Kipheri District: NGO – North East Initiative Development Agency (an initiative of Tata Trusts). | |||
| 2. | Wokha District: Longstan – SHG, England | |||
| 2. | Chumukedima District: ASHA Worker | |||
| Lead Proponent: |
Dr. Lithungo K Murry |
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| Project Brief Description: | The Indian Himalayan Region (IHR) faces rugged terrain, ecological fragility, dispersed settlements, and recurring hazards like landslides, flash floods, and earthquakes, making equitable access to healthcare, shelters, and evacuation routes a persistent challenge. In Nagaland, remote communities rely on Traditional Knowledge (TK)—such as oral route maps, hazard signs, and seasonal trails—which remains undocumented and absent from formal disaster management. This project develops a GIS–Traditional Knowledge (GIS–TK) hybrid dynamic routing framework to enable safe, inclusive emergency planning. Using participatory mapping, GPS logging, drone imaging, and geospatial analysis, it will digitize indigenous trail systems in three pilot districts—Kiphire, Wokha, and Chümoukedima—covering 15 village clusters. The data will integrate with Digital Elevation Models, hazard maps, and OpenStreetMap to build a high-fidelity GIS–TK dataset. Key innovations include five dynamic indices—Facility Reachability, Terrain Difficulty, Hazard-Aware, Service Equity, and Emergency Connectivity—feeding into a Deep Q-Network–based routing engine to generate optimal, adaptive routes for both normal and disaster scenarios. Outputs include a bilingual mobile app and WebGIS platform for low-connectivity contexts, piloted with local health workers, village councils, and disaster agencies. | |||
| Beneficiaries/ Stakeholders: |
• Primary Beneficiaries: Indigenous communities in 15 villages across Nagaland, with priority for vulnerable groups—women, elderly, and persons with disabilities (PwDs). Activities include participatory mapping, community engagement, and accessibility-focused evacuation planning to ensure safer mobility and disaster resilience. |
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| Activity Chart (For 3 years) | ||||
| Total Grants (in Rs.) | Rs.61,98,822/- (Rupees Sixty One Lakh Ninety Eight Thousand Eight Hundred Twenty Two Only) | |||
| Project Objectives | Quantifiable Deliverables | Monitoring Indicators |
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• To collect, document, digitize, and integrate traditional route knowledge from indigenous communities with existing GIS datasets across selected remote and hazard-prone village clusters in Nagaland. • To develop and validate composite accessibility and resilience indices that reflect ground realities and hazard exposure, including: • Facility Reachability Index (FRI) – measuring ease of access to critical services. • Terrain Difficulty Index (TDI) – capturing physical challenges of the landscape. • Hazard-Aware Index (HAI) – incorporating exposure to disaster risks. • Service Equity Index (SEI) – assessing fairness in service accessibility. • Emergency Connectivity Index (ECI) – quantifying rapid access during crises. • To design and implement a hybrid routing algorithm and decision-support engine that integrates topographical, hazard, and TK layers for optimal route planning under both normal and emergency scenarios. • To develop and deploy an interactive and user-friendly WebGIS and mobile application platform for use by community members, local authorities, and disaster response agencies, facilitating real-time access to routing and accessibility information. • To build community and institutional capacity through participatory planning and training workshops, ensuring the sustainability, scalability, and local ownership of disaster preparedness tools and practices. |
• Digitized, geo-referenced database of traditional routes, mobility practices, and indigenous navigation knowledge integrated with existing GIS layers • Composite Access and Resilience Indices (FRI, TDI, HAI, SEI, ECI) with validated scoring frameworks and village-level index maps. • Fully functional WebGIS platform and Android mobile application for real-time safe route selection and facility reachability analysis. • Capacity-building modules, manuals, and training sessions for communities, disaster managers, and local authorities. • Policy briefs and integration guidelines for adoption by State Disaster Management Authority and district agencies. |
• Monitoring in comparison to the baseline information/ data to be provided by the proponent: • No. of villages covered, routes mapped, and TK inputs digitized and validated with community elders. • Completion and accuracy benchmarks for each index layer (FRI, TDI, HAI, SEI, ECI). • Performance metrics of routing engine (processing time, route accuracy, hazard avoidance success rate). • WebGIS and mobile app usage analytics (active users, sessions, real-time routing requests). • Number of training workshops held and participants trained. • Increase in local-level disaster preparedness. • Stakeholder adoption indicators (departments integrating the tool, formal endorsements, community uptake). • No. of research papers, technical reports, and policy documents published. |
| S.No. | No. of Sanctioned Post | Salary (Sanctioned) |
| 1. | 01 SRF | @ Rs.42,000/- + 09% HRA for 3rd Year |
| 2. | 01 JRF | @ Rs.37,000/- + 09% HRA for first 2 Years |
| 3. | 01 Field Coordinator | @ Rs.25,000/- |
| S.No. | Name of Equipment (Sanctioned) | Use of Equipment/ Details | Cost (in INR) |
| 1. | 1 Lenovo LOQ 13″ (13th Gen, i7) @Rs.1,25,991/-, 1 Samsung Galaxy Tab S10 Lite @Rs.28,252/-, 1 DJI Mavic 3 Enterprise (3E) + Intelligent Battery Station + RTK capable @Rs.4,40,999/-, 1 HP Z4 G5 Workstation (Xeon W5-2455X, 32 GB ECC DDR5, 1 TB NVMe + 2 TB SATA, NVIDIA RTX A4000) @Rs.3,36,300/-. | 9,31,542 |
