Space Technology
Browse and strategize across all 11 official problem statements for Space Technology. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (11)
Match My TeamAI-Based Cognitive Gaming and Memory Assistance Platform for Elderly Dementia Patients in North Eastern Region (NER)
Elderly individuals in remote North Eastern villages with dementia face memory decline and social isolation with virtually zero access to specialized neurological centers. Build an accessible, culturally localized tablet/mobile cognitive therapy platform with adaptive memory games, regional voice guidance (Assamese/Khasi/Mizo), and caregiver progression dashboards.
Al-Assisted Early Detection System for Osteoarthritis (OA) Risk Markers in North Eastern Region (NER)
Physically demanding mountain livelihoods in the North East cause severe undiagnosed osteoarthritis, yet remote primary health centers lack orthopaedic specialists and imaging tools. Build a smartphone-based early screening tool that uses computer vision pose estimation to analyze knee joint flexion, walking gait anomalies, and clinical symptoms during field health camps.
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.
AIIA Clinical Trials Dashboard - a real-time, cloud-based, GCP-compliant Clinical Trial Management System (CTMS) for Ayurveda research, with CDISC/FHIR-interoperable data, role-based KPIs, and integrated ethics, regulatory (CTRI / NDCT Rules 2019) and pharmacovigilance tracking.
All India Institute of Ayurveda (AIIA) and national Ayush research centers conduct clinical trials using fragmented paper Case Report Forms (CRFs) and spreadsheets, resulting in regulatory non-compliance with GCP guidelines, delayed trial monitoring, and lack of real-time adverse event reporting. Build the 'AIIA Clinical Trials Dashboard'—a cloud-based, CDISC/GCP-compliant electronic data capture (EDC) and real-time trial monitoring platform.
Integrated Polar Science Outreach, Knowledge Repository and Media Dissemination Portal
India's landmark scientific discoveries in the Polar regions (Antarctica, Arctic, Himalayas/Third Pole) and Southern Ocean remain hidden in academic journals, limiting public awareness, school STEM engagement, and accessible media dissemination. Build an Integrated Polar Science Outreach, Interactive Knowledge Repository, and Media Dissemination Platform for NCPOR featuring interactive 3D digital twins of polar stations, virtual Antarctic expeditions, open scientific dataset downloads, and school educational gamification.
OceanEmbed - Satellite Embedding-Based Deep Learning Framework for Reconstruction of Subsurface Ocean Temperature from Surface Satellite Observations.
Raw satellite ocean observations (SST, Chlorophyll-a, Sea Surface Height) have missing data gaps from cloud cover and low spatial resolution, limiting marine fisheries and cyclone track models. Build 'OceanEmbed'—a self-supervised foundation model that generates dense spatio-temporal embeddings from multi-satellite rasters to reconstruct missing oceanic fields, super-resolve Sea Surface Temperature (SST) to 1 km resolution, and predict Potential Fishing Zones (PFZ) for INCOIS.
Leveraging satellite imagery to determine Oil spills at sea along with AIS data correlations to identify vessel responsible for the spill.
Illegal maritime oil spills, tank-wash discharges, and offshore drilling accidents in Indian Exclusive Economic Zones (EEZ) cause severe marine ecological damage, while delayed satellite detection allows polluter vessels to flee without liability. Build an AI-Powered Satellite Oil Spill Detection and Trajectory Drift Forecasting Platform for the National Technical Research Organisation (NTRO) combining Sentinel-1 SAR radar imagery, optical MSI feeds, AIS vessel tracking, and ocean hydrodynamic drift modeling to detect oil slicks and identify the culprit ship.
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.
SatQuery AI - An Interactive Vision-Language Assistant for Multimodal Remote Sensing Image Analysis through Text Queries
Scientists, urban planners, and disaster responders struggle to query massive archives of Indian satellite imagery on ISRO's Bhuvan and Bhoonidhi portals because finding specific geospatial insights (e.g. 'Show flood inundation in Kaziranga between June and August 2024' or 'Count solar farms in Rajasthan') requires specialized GIS software and manual band-math processing. Build 'SatQuery AI'—an Interactive Vision-Language Assistant and Spatial Grounding Engine for Multimodal Earth Observation for ISRO that understands natural language queries, performs zero-shot satellite object detection, and generates analytical GIS summary reports.
Student Innovation
AICTE Open Innovation: Space Technology (Software) — Small satellite operators and universities launching CubeSats into Low Earth Orbit (LEO) face severe mission risks from orbital space debris collisions, tight ground station communication pass windows, and complex attitude determination and control calculations. Build an AI-Powered Spacecraft Mission Planning, Autonomous Constellation Orbit Propagation, and Space Debris Collision Conjunction Assessment Platform that calculates high-precision orbital trajectories (SGP4/SDP4), tracks close conjunction passes, and schedules ground station passes.
Student Innovation
AICTE Open Innovation: Space Technology (Hardware) — Engineering colleges and aerospace startups in India developing CubeSat satellite missions face astronomical launch costs and failure rates due to lack of space-qualified, radiation-tolerant hardware subsystems (Onboard Computer - OBC, Electrical Power System - EPS, Attitude Determination and Control - ADCS). Build a 1U Space-Qualified Educational CubeSat Engineering Model and Ground Testing Rig featuring a dual-redundant ARM Cortex-M7 Onboard Computer, deployable MPPT solar panels, 3-axis magnetorquer ADCS attitude stabilization, and UHF/VHF amateur radio telemetry transceivers.