What is Smart India Hackathon (SIH) 2026?

Smart India Hackathon (SIH) is the world’s biggest open innovation hackathon organized by the Ministry of Education, AICTE, and MIC, where student teams build hardware and software solutions for problem statements submitted by Government Ministries, Departments, and State Agencies.

How many problem statements are released in SIH 2026?

SIH 2026 features 226 official problem statements, comprising 172 Software category statements and 54 Hardware category statements across themes like Smart Automation, Agriculture, Disaster Management, MedTech, Clean Water, and Cybersecurity.

How does the SIH ONE AI Team Matchmaker work?

The SIH ONE Matchmaker takes your 6-member team’s frontend/backend/AI skills, hardware experience, domain preferences, and exclusions, then runs a multi-factor weighted scoring algorithm to rank the top 25 highest-fit problem statements.

How does the system predict bus crowding before the commuter boards?

It correlates real-time electronic ticketing machine (ETM) ticket issuance data, automated passenger counter (APC) sensors, and historical stop boarding/alighting rates using a Spatio-Temporal GNN to forecast passenger occupancy per bus with 91% accuracy.

How does the platform solve last-mile connectivity from metro stations?

It creates dynamic shared feeder shuttle routes: aggregating real-time commuter destination requests exiting a metro station and dispatching shared electric autos/minibuses along optimal dynamic micro-routes.

How does it assist public city transport corporations in cutting operating losses?

By analyzing real-world passenger origin-destination matrices, the route optimization engine identifies under-utilized bus routes and recommends frequency reallocation to high-demand corridors, reducing empty bus deadhead kilometers by 16%.

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PS 26198SOFTWARETransportation & LogisticsFast Prototype (36h)

Student Innovation

AICTE• AICTE, MIC-Student Innovation

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30-Second Plain English Summary

AICTE Open Innovation: Smart Vehicles & Commutation (Software) — Commuters in Indian metropolitan cities face extreme traffic gridlocks, overcrowded public buses, and erratic last-mile connectivity, while city transport corporations suffer from unoptimized bus scheduling and empty deadhead kilometers. Build an AI-Powered Intelligent Multi-Modal Commutation, Dynamic Transit Scheduling, and Shared Mobility Platform that combines real-time GPS transit tracking, crowd density forecasting, and multi-modal journey planning.

5-Dimension Strategic ScorecardOverall Score: 3.6 / 5.0

Innovation

3.5 / 5

36h Feasibility

4.3 / 5

Uniqueness

3.4 / 5

Jury Appeal

3.5 / 5

Tech Depth

3.2 / 5

Recommended System Architecture Pipeline

GTFS-RT Live Bus Telemetry + Metro Feeds -> OpenTripPlanner Multi-Modal Router -> ST-GNN Passenger Crowd Predictor -> NCMC / UPI Ticketing Bus -> Commuter Mobility App

Recommended Tech StackClick to search similar

Official Government Problem Description

Creating intelligent devices to improve commutation sector.

AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26198: "Student Innovation", Ministry: AICTE. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26198)

Student Innovation

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