MoSPI
Browse and strategize across all 4 official problem statements submitted by MoSPI for Smart India Hackathon 2026.
Problem Statements (4)
Match My TeamDevelopment of a Real-time Airfare Price Index for India through Automated Web Scraping of Airline and Online Travel Aggregator Portals for Augmentation of the Consumer Price Index (CPI).
The Ministry of Statistics and Programme Implementation (MoSPI) tracks consumer price inflation using lagging manual monthly surveys that fail to capture the high volatility and dynamic pricing algorithms of Indian domestic airfares. Build a Real-Time Airfare Price Index (APIX) automated platform for MoSPI that continuously scrapes, normalizes, and aggregates route-level flight fares across airlines and OTAs, computing high-frequency Fisher/Jevons price indices with seat availability weighting.
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.
Development of an AI-powered system to detect anomalies, fraud, and inefficiencies in MPLAD Scheme implementation regd.
National socio-economic surveys conducted by MoSPI (Periodic Labour Force Survey - PLFS, Household Consumption Expenditure Survey - HCES, Annual Survey of Industries - ASI) involve millions of household interviews where field investigator fraud, fabricated interviews ('curb-stoning'), and data inconsistencies distort official GDP and employment statistics. Build an AI-powered Survey Anomaly and Fraud Detection Platform for MoSPI that analyzes interview duration timestamps, GPS travel feasibility, Benford's Law distribution compliance, and biometric audio signatures to flag fabricated survey returns.
Use case on web-based integrated project-monitoring platform
Mega infrastructure projects in India (railways, national highways, petroleum refineries, power plants costing >₹150 Crores) monitored under MoSPI's Online Computerized Monitoring System (OCMS) suffer massive cost and time overruns due to delayed land acquisition, contractor bottlenecks, and uncoordinated inter-ministerial clearances. Build a next-generation Web-Based Integrated Project-Monitoring Platform for MoSPI featuring drone orthomosaic physical progress tracking, automated Earned Value Management (EVM), and predictive project delay forecasting.