5-Dimension Scorecard Analysis
Every problem statement on SIH ONE is scored across Innovation, 36-Hour Feasibility, Uniqueness, Jury Appeal, and Technical Depth to help teams identify high-probability winning ideas.
FINDTHERIGHTPROBLEMSTATEMENTFORYour Team.
High-speed discovery engine, AI team matchmaker, and tactical jury playbook for Smart India Hackathon 2026.
SOFTWARE STATEMENTS[01]
0
AI/ML, Web, Mobile & Cloud
HARDWARE STATEMENTS[02]
0
IoT, Drones & Embedded
INNOVATION DOMAINS[03]
0
18 Distinct Themes
REGISTERED SPOCS[04]
0
Across 36 States & UTs
CURATED SELECTION • HIGH IMPACT
High-Impact Problem Statements
Moderate Scope
4.5/5.0•Feas 4.3
Al-Based Smart Logistics and Accessibility Intelligence Platform for North Eastern Region (NER)
Ministry of Development of North Eastern Region (MDoNER)
Smart Automation
Difficult mountain terrain and frequent road blockages across the North Eastern Region delay delivery of essential medicines, food supplies, and construction materials. Build an AI route-optimization and accessibility platform that dynamically tracks convoy movement, predicts weather disruptions, and recalculates alternate supply corridors.
+5 more
Moderate Scope
4/5.0•Feas 4.5
Cooperative Gig Services Platform for Household & Community Services
Ministry of Cooperation
Smart Automation
Rural and semi-urban gig workers (electricians, plumbers, carpenters, domestic workers, care providers) in India are exploited by private gig platforms charging 20-30% commissions without social security or collective bargaining power. Build a Worker-Owned Cooperative Gig Services Platform for the Ministry of Cooperation that enables local worker cooperatives to manage household and community service bookings, retain 100% of service earnings, access collective health insurance, and manage democratic cooperative voting.
+3 more
Moderate Scope
4.5/5.0•Feas 4.3
Develop an AI enabled learning platform that identifies competency gaps, recommends personalized training through integration with the iGOT Karmayogi ecosystem, and capable of generating Quizzes and Multiple choice questions (MCQs) from uploaded learning materials to strengthen capacity building in India's Official Statistical System.
MoSPI
Smart Education
Statistical officers and data investigators at the Ministry of Statistics and Programme Implementation (MoSPI) require continuous upskilling in advanced econometrics, big data analytics, sampling design, and Python/R data science, but existing training is static and classroom-bound. Build an AI-enabled Adaptive Learning and Competency Gap Platform for MoSPI that assesses individual statistical competency levels, identifies skill deficiencies across job roles, and delivers personalized interactive micro-learning modules with coding sandboxes.
+4 more
Heavy R&D
4.2/5.0•Feas 4.3
Sovereign On-Premise Agentic AI Workbench using Open-Weight Multimodal LLMs for Confidential Industrial Work
Mangalore Refinery and Petrochemicals Limited (MRPL)
Smart Automation
Refineries (MRPL), defense PSUs, and sovereign government agencies handle highly sensitive knowledge work (refinery shutdown planning, crude blend optimizations, board memos, engineering calculations) that cannot be sent to foreign commercial cloud LLMs (OpenAI/Anthropic) due to national security. Build a Sovereign On-Premise Agentic AI Workbench for MRPL using open-weight multimodal foundation models (Llama-3, Qwen-VL, Mistral) running 100% air-gapped on local enterprise GPUs with multi-agent orchestration for engineering document synthesis.
+1 more
36h Feasible
4.1/5.0•Feas 4.3
Intelligent Data Capture & Schedule-Linking Layer for Infrastructure Project Management: Real-Time Actual Progress Tracking (Planning-to-Execution Bridge)
Oil India Limited
Smart Automation
Oil India Limited's massive pipeline, well-pad, and processing plant infrastructure projects suffer from delayed milestone tracking because site engineers log physical site updates in informal emails and chat groups with no automated link to Primavera P6 / MS Project master schedules. Build an Intelligent Data Capture and Schedule-Linking Layer for OIL that automatically extracts physical construction milestones from site photos, drone orthomosaics, and daily progress reports (DPRs) to dynamically update enterprise Primavera P6 Gantt charts.
View
Heavy R&D
4.5/5.0•Feas 4.3
SatQuery AI - An Interactive Vision-Language Assistant for Multimodal Remote Sensing Image Analysis through Text Queries
Indian Space Research Organisation(ISRO)
Space Technology
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.
+3 more
STRATEGIC TOOLKIT • HACKATHON STACK
Built for 36-Hour Hackathon Victory
Everything your team needs from initial problem discovery to the final stage pitch.
Step 1: Team Fitting
AI Team Matchmaker Wizard
Input your 6 team roles, programming languages, and offline preferences to get tailored match scores across all 226 statements.
Step 2: Grand Finale Strategy
Hackathon Survival Playbook
Master the 3-minute zero-fail demo script, venue Wi-Fi crash failover protocol, and official 5-pillar jury evaluation psychology.
Step 3: Official Verification
College SPOC & AISHE Directory
Search, verify, and 1-click copy your registered College SPOC details and AISHE/AICTE codes across 2,891 institutions in India.
Step 4: Side-by-Side Decision
12-Dimension Evaluation Matrix
Select up to 3 shortlisted statements and compare TL;DR, 36h MVP scope, architecture flow, and critical jury traps side-by-side.
THEME TAXONOMY • 18 DOMAINS
Explore by Innovation Theme
01Miscellaneous
38
02Smart Automation
31
03Disaster Management
29
04Blockchain & Cybersecurity
22
05MedTech / BioTech / HealthTech
14
06Smart Education
13
07Agriculture, FoodTech & Rural Development
12
08Space Technology
11
09Robotics and Drones
10
10Fitness & Sports
8
11Transportation & Logistics
8
12Heritage & Culture
7
13Travel & Tourism
6
14Smart Resource Conservation
5
15Renewable / Sustainable Energy
4
16Smart Vehicles
4
17Clean & Green Technology
2
18Toys & Games
2
HACKATHON INTELLIGENCE & ARCHITECTURAL METHODOLOGY
How to Dominate Smart India Hackathon 2026
Smart India Hackathon 2026 features 226 problem statements across 172 Software and 54 Hardware challenges. Winning requires more than basic coding—it demands strategic alignment with government ministry priorities, verifiable open datasets, and robust 36-hour execution.
6-Member Role Allocation
Pre-configured task distribution across Frontend UI, Backend APIs, AI/ML models, DevOps/Data engineering, and Pitch Demo Lead ensures zero team friction during 36-hour sprints.
Verified Open Datasets
Direct access to verified open data portals including data.gov.in, ISRO Bhuvan geospatial layers, IMD weather feeds, and Hugging Face benchmarks to validate proof-of-concept prototypes.
Jury Defense & Trap Elimination
Anticipate aggressive evaluation questions, edge-case failure traps (like Wi-Fi dropouts during demos), and offline sync requirements before stepping in front of government judges.
Recommended 3-Step Strategy for Teams
- 1. Filter by Realistic Feasibility
Prioritize statements marked with "36h Feasible" or "Moderate Scope" to guarantee a complete working MVP before finals.
- 2. Leverage Verified Datasets
Incorporate real government API samples and geospatial layers into your prototype to immediately stand out from dummy-data mockups.
- 3. Prepare 3-Minute Live Demo
Follow our zero-fail demo script with local fallback recordings so venue connectivity drops cannot derail your evaluation pitch.