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SIH 2026 Theme Hub

Smart Resource Conservation

Browse and strategize across all 5 official problem statements for Smart Resource Conservation. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.

5
Total PS
2
Software
3
Hardware

Problem Statements List (5)

Match My Team
PS 26064HARDWARE
Heavy R&D
3.8/5.0Feas 4

Low-Cost Deployable Seafloor Metal Detection Sensor for Ocean Resource Exploration

Ministry of Earth Sciences (MoES)
Smart Resource Conservation

Deep seafloor exploration in the Indian Ocean for Polymetallic Nodules and seafloor massive sulfides (copper, nickel, cobalt, manganese) is hindered by heavy, expensive commercial survey systems. Build a low-cost, lightweight deployable seafloor metal detection sensor and digital signal processing system for National Institute of Ocean Technology (NIOT) that utilizes pulsed eddy-current electromagnetic induction (EMI) to identify and classify buried metal ore deposits on the ocean floor.

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PS 26193SOFTWARE
36h Feasible
3.6/5.0Feas 4.3

Student Innovation

AICTE
Smart Resource Conservation

AICTE Open Innovation: Smart Automation (Software) — Small and medium enterprises (MSMEs) in India lose millions in operational waste due to manual equipment tracking, unoptimized electricity consumption, and disconnected legacy software tools. Build an Intelligent Industrial Smart Automation and Resource Optimization Platform that uses computer vision, Edge IoT automation, and predictive machine learning to autonomously orchestrate factory equipment, optimize energy loads, and streamline business workflows.

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PS 26201SOFTWARE
36h Feasible
3.6/5.0Feas 4.3

Student Innovation

AICTE
Smart Resource Conservation

AICTE Open Innovation: Clean & Green Technology / Waste Management (Software) — Municipal solid waste management across Indian cities suffers from low recycling rates (less than 20% waste segregated at source), illegal garbage dumping, and unoptimized waste collection truck routes that waste municipal diesel. Build an AI-Powered Smart Municipal Waste Management, Computer Vision Recycling Segregation, and Dynamic Collection Logistics Platform that uses smartphone computer vision to classify waste types (wet, dry, recyclable, hazardous), detects illegal garbage blackspots, and optimizes municipal truck routes.

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PS 26210HARDWARE
36h Feasible
3.5/5.0Feas 4

Student Innovation

AICTE
Smart Resource Conservation

AICTE Open Innovation: Smart Automation (Hardware) — Legacy industrial machinery in Indian manufacturing workshops operates without digital telemetry, resulting in sudden mechanical motor breakdowns, undetected thermal overheating, and expensive production downtime. Build a Retrofittable Industrial Edge-IoT Smart Automation and Machine Health Monitoring Controller Box featuring multi-channel vibration accelerometers, non-invasive current transducers (CT), thermal infrared sensors, automated safety relay interlocks, and Modbus/RS485 communication.

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PS 26218HARDWARE
36h Feasible
3.6/5.0Feas 4

Student Innovation

AICTE
Smart Resource Conservation

AICTE Open Innovation: Clean & Green Technology / Waste Management (Hardware) — Mixed garbage thrown into public municipal dustbins contaminates recyclable plastics, wet organic food, and hazardous metallic waste, causing over 80% of urban municipal waste in India to end up in overflowing toxic landfills. Build an Automated Smart Waste Segregation Bin and Solar Compaction Hardware Unit featuring inductive proximity sensors, capacitive moisture sensors, optical spectral sorting cameras, motorized multi-compartment sorting flaps, and an automated linear compaction ram.

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