PostGIS
Browse and strategize across all 12 official problem statements requiring PostGIS. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (12)
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.
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.
Portal for Academia - Industry collaboration for Skill Mapping, Internships and Placement
Ayush academic institutions (Ayurveda, Yoga, Unani, Siddha, Homeopathy) and pharmaceutical/wellness industries operate in silos, leading to skill mismatches, lack of verified clinical internships, and uncommercialized research patents. Build a dedicated Academia-Industry Ayush Collaboration Portal featuring AI skill mapping, verified clinical internship matching, industry R&D problem statements, and patent technology licensing showcases.
Modifications to improve the reliability, efficiency,and lifespan of electrical and electronic equipment and systems in the ambient condition of subzero temperature and low pressure of High Altitude Areas(HAA) and Super High Altitude Areas (SHAA) of Ladakh region.
Unmanned Aerial Vehicles (UAVs) and drones deployed in extreme desert and border regions face rapid motor overheating, bearing wear, and battery degradation under high ambient dust and temperature. Build a predictive digital twin and hardware telemetry analysis platform that ingests ESC telemetry, motor vibration FFT signatures, and thermal sensors to forecast drone subsystem failures and optimize propulsion lifespan for DRDO.
Development of a Low-Power, Real-Time Adaptive Software-Defined Sonar Transmitter Payload for Autonomous Underwater Vehicles (AUVs)
Autonomous Underwater Vehicles (AUVs) exploring deep Indian waters require acoustic sonar for navigation and seafloor mapping, but commercial hardware sonars are bulky, consume excessive battery power, and have rigid unmodifiable signal processing. Build a low-power, real-time Adaptive Software-Defined Sonar (SDS) platform for AUVs in GNU Radio / C++ that implements reconfigurable acoustic waveforms (LFM chirp, CW pulses), adaptive matched filtering, and side-scan bathymetric image reconstruction.
Develop a web-based interactive 3D visualization platform that integrates numerical ocean model outputs and in-situ observations.
INCOIS and oceanographic scientists generate complex multi-dimensional ocean data (3D temperature depth profiles, salinity thermoclines, subsurface currents, bathymetric trenches) that are locked in static 2D plots, preventing intuitive visual analysis. Build an interactive web-based 3D oceanographic visualization and digital twin platform using WebGL / CesiumJS that renders multi-depth oceanic layers, animated particle current vectors, and interactive vertical thermocline slices.
AIML based Nowcasting of thunderstorm and lightning using atmospheric observation including multiple radars, satellite, lightning and model data.
Severe thunderstorms, squalls, and cloud-to-ground lightning strikes kill over 2,500 rural farmers and laborers annually in India due to sudden onset and lack of localized nowcasting. Build an AI/ML-based nowcasting and early warning platform for IITM/IMD that ingests Lightning Location Network (LLN) pulses, Doppler radar reflectivity, and INSAT-3D cloud-top temperatures to forecast thunderstorm cell paths and lightning strike hazard zones 30-90 minutes in advance.
Participants are invited to design and develop **CAPACITY CONNECT A Digital Capacity Building and Learning Management Portal** to support organizational training, competency development, and knowledge sharing through a centralized web-based platform.
Indian researchers, universities, and students struggle to access advanced scientific infrastructure (oceanographic research vessels, supercomputing clusters, polar test facilities, mass spectrometers) across MoES institutes (NCPOR, NIOT, INCOIS, IITM, NCMRWF) due to lack of a unified booking and training ecosystem. Build 'CAPACITY CONNECT'—a centralized digital research capacity building, scientific equipment sharing, and internship management platform for the Ministry of Earth Sciences (MoES).
Convective scale nowcasting for Thunderstorms, Hail & Cloudbursts (06 hr)
Severe localized convective cloudbursts, severe hailstorms, and squall lines across the Himalayas and central plains develop within 30 minutes, causing sudden flash floods and severe crop destruction before traditional numerical models can react. Build an AI-driven convective scale nowcasting platform for IMD (0-6 hour forecast horizon) that assimilates 3D Doppler radar reflectivity grids, INSAT-3D rapid-scan cloud-top cooling rates, and GNSS Integrated Water Vapor (IWV) to predict cloudburst initiation and hail size with sub-kilometer precision.
Dam Break Inundation Modelling Using Hydrodynamic Modelling of any River
Catastrophic dam failures in India (due to cloudbursts, earthquakes, structural breach) cause devastating downstream flash floods and loss of life within hours, where disaster authorities lack real-time hydrodynamic breach simulation models to plan evacuations. Build an AI-Accelerated Dam Break Inundation and River Hydrodynamic Modeling Platform for NTRO combining dam breach breach-parameter physics (Froehlich / MacDonald formulas), 2D shallow water hydrodynamic solvers (HEC-RAS / LISFLOOD), and high-resolution DEMs to forecast downstream flood arrival times and evacuation corridors in real time.
Multi-modal, Sun angle and scale invariant image correspondence using Chandrayaan-2 optical images (OHRC, TMC and IIRS)
Automated co-registration of satellite images captured at different seasons, sun illumination angles, sensor modalities (Optical vs SAR Radar), and spatial resolutions (Cartosat vs Sentinel) suffers from high geometric distortion, parallax errors, and feature matching failures over rugged Indian terrain. Build an AI-Driven Multi-Modal, Sun-Angle, and Scale-Invariant Image Correspondence and Geo-Registration Engine for ISRO that uses deep local invariant feature descriptors (SuperPoint / LoFTR) to achieve sub-pixel spatial alignment across heterogeneous satellite acquisitions.
DepthWizard - Single-View Height Estimation and 3D Flythrough
Disaster responders, defense intelligence officers, and urban planners working with ISRO satellite data frequently have access to only single optical monocular satellite images (with no stereo pairs or LiDAR elevation data available), making 3D elevation analysis and building height measurements impossible. Build 'DepthWizard'—a Single-View Height Estimation and 3D Photorealistic Flythrough Generation Platform for ISRO that uses deep monocular depth foundation models, solar shadow geometry trigonometry, and 3D neural rendering to reconstruct 3D cityscapes from a single 2D satellite image.