Find The Right Problem Statement For Your Team.
High-speed discovery engine, AI team matchmaker, and tactical jury playbook for Smart India Hackathon 2026.
AI/ML, Web, Mobile & Cloud
IoT, Drones & Embedded
18 Distinct Themes
Across 36 States & UTs
High-Impact Problem Statements
Al-Based Smart Logistics and Accessibility Intelligence Platform for North Eastern Region (NER)
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.
Cooperative Gig Services Platform for Household & Community Services
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.
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.
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.
Sovereign On-Premise Agentic AI Workbench using Open-Weight Multimodal LLMs for Confidential Industrial Work
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.
Intelligent Data Capture & Schedule-Linking Layer for Infrastructure Project Management: Real-Time Actual Progress Tracking (Planning-to-Execution Bridge)
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.
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.
Built for 36-Hour Hackathon Victory
Everything your team needs from initial problem discovery to the final stage pitch.
AI Team Matchmaker Wizard
Input your 6 team roles, programming languages, and offline preferences to get tailored match scores across all 226 statements.
Hackathon Survival Playbook
Master the 3-minute zero-fail demo script, venue Wi-Fi crash failover protocol, and official 5-pillar jury evaluation psychology.
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.
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.