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 forecast solar power drops caused by sudden passing cloud cover?

It computes cloud motion vectors (optical flow) from INSAT-3D visible satellite imagery and ground sky-cameras, projecting cloud shadow arrival times over the solar array 15-60 minutes in advance to predict sudden solar generation dips.

How does the battery dispatch algorithm maximize economic returns under Time-of-Day (ToD) electricity tariffs?

It solves an optimal control problem over a rolling 24-hour horizon: charging batteries during midday peak solar generation (or low off-peak grid tariff periods) and discharging stored energy during high peak-tariff evening hours, minimizing net electricity bills.

How does the platform prevent solar panel power degradation over time?

It continuously compares measured power output against the theoretical clear-sky PVLib model; when clean irradiance produces sub-optimal power output, the system identifies soiling losses and generates automated cleaning maintenance alerts.

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PS 26203SOFTWARERenewable / Sustainable EnergyFast Prototype (36h)

Student Innovation

AICTE• AICTE, MIC-Student Innovation

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30-Second Plain English Summary

AICTE Open Innovation: Renewable & Sustainable Energy (Software) — Commercial solar microgrids, wind farms, and battery energy storage systems (BESS) in India suffer from power curtailment and financial penalties under Availability Based Tariff (ABT) regulations due to unpredictable cloud cover and intermittent wind gusts. Build an AI-Driven Renewable Energy Forecasting, Smart Battery Dispatch, and Microgrid Energy Trading Platform that uses satellite cloud tracking and machine learning to forecast solar/wind power generation 48 hours in advance and optimize battery charge/discharge cycles.

5-Dimension Strategic ScorecardOverall Score: 3.6 / 5.0

Innovation

3.6 / 5

36h Feasibility

4.3 / 5

Uniqueness

3.4 / 5

Jury Appeal

3.5 / 5

Tech Depth

3.3 / 5

Recommended System Architecture Pipeline

Solar Inverter Modbus Telemetry + Satellite Cloud Optical Flow -> Solar/Wind ML Forecasting Engine -> Model Predictive Control (MPC) Battery Optimizer -> TimescaleDB -> Renewable Energy SCADA Console

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Official Government Problem Description

Innovative ideas that help manage and generate renewable /sustainable sources more efficiently.

AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26203: "Student Innovation", Ministry: AICTE. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26203)

Student Innovation

Related Problem Statements in Renewable / Sustainable Energy

AI-Based early warning and landslide Risk Monitoring System in NER

Al-Based Smart Logistics and Accessibility Intelligence Platform for North Eastern Region (NER)

AI-Based Cognitive Gaming and Memory Assistance Platform for Elderly Dementia Patients in North Eastern Region (NER)