Smart Automation
Browse and strategize across all 31 official problem statements for Smart Automation. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (31)
Match My TeamAl-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.
Safe and Efficient Operation of Mine Vehicles in Fog and Low-Visibility Conditions in Open Cast Iron Ore Mines.
Monsoon fog at NMDC's Bailadila iron ore mines reduces haul road visibility to 3-5 meters, causing heavy dumpers to halt operations and costing millions in lost ore production. Build an edge-AI collision avoidance and situational awareness platform that fuses thermal imaging, LiDAR/radar proximity telemetry, and high-precision GPS haul road digital twin mapping.
Belt Joint Rupture and Conveyor Belt Damages in Iron Ore Mining Industry: Intelligent Monitoring and Prediction of Conveyor Belt Joint Rupture and Damages in Iron Ore Mining Industry.
Continuous iron ore conveyor belts at NMDC mines suffer sudden joint splice ruptures and belt tears from heavy loads and abrasive dust, causing catastrophic production halts and safety hazards. Build an IoT and AI predictive maintenance system that analyzes high-speed vision camera feeds, thermal splice temperatures, and acoustic vibration telemetry to detect micro-cracks before splice failure occurs.
Using AI/ML and Space Technology to Identify Manganese Reserves and Overcome Production Shortfalls.
MOIL Ltd. relies on time-consuming manual core-drilling logs and historical records to estimate manganese reserves and schedule mine production, leading to unexpected tonnage shortfalls. Build an AI/ML space-assisted mining dashboard integrating satellite multispectral surface indices (vegetation anomaly, land surface temperature, soil moisture) with geological borehole data to map underground manganese ore veins and predict production bottlenecks.
Survey/Resurvey of Rural Agricultural Land in lndia
Decades-old manual chain-and-tape rural land surveys have caused widespread cadastral boundary errors, unrecorded informal land partitions, and high civil court litigation across rural India. Build a modern digital resurvey platform integrating RTK-DGPS ground control points, high-resolution drone orthomosaics, and automated vector parcel snapping to modernize Record of Rights (RoR) and resolve boundary overlaps.
Honey Chain: A block chain-based system for honey traceability and smart beekeeping management.
Rural beekeepers under KVIC's Honey Mission face severe market penalties due to counterfeit adulterated honey and lack of batch traceability. Build 'Honey Chain'—a permissioned blockchain traceability and IoT hive health monitoring platform that records floral origin, extraction telemetry, and NMR purity certificates onto an immutable ledger with consumer QR authentication.
AI-Based Smart Governance and Compliance Monitoring System for Coal Mines
Coal India subsidiaries manage safety inspections, DGMS statutory compliance, environmental clearances, and contractor worker attendance across hundreds of open-cast and underground mines using disconnected spreadsheets and delayed paperwork. Build a centralized AI smart governance and compliance monitoring platform with mobile geotagged field inspection logging, automated statutory deadline escalation, and predictive violation heatmaps.
Automated Cable Specimen Preparation System for IS 10810 and IS 7098 Compliance.
Preparing electrical cable insulation dumbbell test specimens for mechanical tensile and elongation testing under BIS standards (IS 10810 / IS 7098) is currently done with manual blade cutters, resulting in rough uneven edges, high specimen rejection rates, and measurement inconsistencies. Build an automated precision CNC/laser specimen preparation system with automated thickness micrometer measurement and standardized test record generation.
Patient Case-Taking Software
Ayurvedic and Homeopathic patient case-taking is uniquely holistic, requiring doctors to spend 45-60 minutes manually documenting constitutional history (Prakriti / Miasm), digestion (Agni), sleep, pulse examination (Nadi), and symptom modalities with no standardized digital recording tool. Build an intelligent Patient Case-Taking Software tailored for Ayush physicians that streamlines clinical history recording, calculates Doshic/Miasmatic balance, and suggests personalized formulations.
Autonomous Low-Cost Ocean Observation Platform for Polar and Southern Oceans
Long-term oceanographic and climate monitoring in the harsh, storm-tossed Southern Ocean and Antarctic waters is severely limited by the high operational cost of research vessels and lack of low-cost autonomous observation platforms. Build an Autonomous Low-Cost Ocean Observation Platform (Wave/Solar powered surface drifter/glider) and digital telemetry portal for NCPOR that measures sea surface temperature, salinity, wave height, dissolved oxygen, and acoustic ambient marine noise with satellite cloud sync.
Develop a web-based interactive 3D visualization platform that integrates numerical ocean model outputs and in-situ observations.
INCOIS and oceanographic scientists generate complex multi-dimensional ocean data (3D temperature depth profiles, salinity thermoclines, subsurface currents, bathymetric trenches) that are locked in static 2D plots, preventing intuitive visual analysis. Build an interactive web-based 3D oceanographic visualization and digital twin platform using WebGL / CesiumJS that renders multi-depth oceanic layers, animated particle current vectors, and interactive vertical thermocline slices.
Multilingual Cooperative Governance & Legal Assistance Chatbot
Members and directors of rural cooperative societies in India struggle to understand complex statutory legal frameworks (Multi-State Cooperative Societies Act 2002, State Cooperative Societies Acts, bye-laws, election rules, dispute arbitration), leading to administrative delays, illegal board resolutions, and costly litigation. Build a Multilingual Cooperative Governance & Legal Assistance AI Chatbot for the Ministry of Cooperation that indexes central/state cooperative acts, model bye-laws, and dispute resolution case law with source-cited legal answers in 12+ Indian languages.
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.
AI-Based Real-Time Stress and Trauma Assessment Module for Victims/Complainants Accessing NHAA (14566) and Integrated Portal
Victims of caste atrocities, domestic violence, and discrimination filing grievances under the PoA (Prevention of Atrocities) Act face severe psychological trauma, anxiety, and revictimization during legal reporting. Build an AI-based Real-Time Stress and Trauma Assessment Module for grievance portals that analyzes acoustic speech prosody, facial micro-expressions (optional), and natural language distress cues to triage high-trauma complainants, route them to trauma-informed counselors, and provide immediate psychological first-aid.
AI-Driven Standardization and Harmonization of Material Codes Across CPSEs
Major Central Public Sector Enterprises (CPSEs) under the Ministry of Petroleum & Natural Gas (ONGC, IOCL, BPCL, HPCL, GAIL, MRPL) maintain millions of spare part inventories with conflicting legacy material codes and inconsistent naming, making cross-CPSE procurement sharing and aggregate buying impossible. Build an AI-driven Material Code Standardization and Harmonization Platform that uses NLP and entity resolution to deduplicate spare parts, standardize technical descriptions, and map internal codes to international standards (UNSPSC, MESC, NATO Codification).
AI-Powered Integrated Bid Compliance Verification Platform for GeM Procurement
Procurement officers across Oil & Gas CPSEs spend hundreds of manual hours evaluating multi-hundred-page technical bids on the Government e-Marketplace (GeM) to check compliance with complex Special Terms & Conditions (STC), technical data sheets, financial turnover, and Make in India (MII) local content declarations. Build an AI-Powered Integrated Bid Compliance Verification Platform for GeM Procurement that uses Document AI and Table RAG to automatically cross-verify vendor bid documents against tender specifications, highlighting non-compliant deviations and generating audit-proof evaluation matrices in minutes.
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.
Al-powered Intelligent Assistant for Indian Standards and BIS Services for Industries and Consumers
Indian manufacturers, MSMEs, consumer laboratories, and citizens struggle to navigate over 22,000+ Indian Standards (IS) published by the Bureau of Indian Standards (BIS), facing confusing technical jargon, amendment clauses, and complex conformity assessment procedures on the e-BIS portal. Build 'e-BIS Sahayak'—an AI-powered conversational intelligent assistant and standards exploration engine that indexes the complete corpus of Indian Standards, providing accurate clause summaries, product certification workflows, and lab testing parameters with exact standard citations.
AI-Powered Recommendation Engine for Identifying Applicable Indian Standards for Procurement Specifications
Indian manufacturers, startups, and importers designing new products (EV chargers, solar inverters, medical devices, packaged foods) struggle to identify which specific Indian Standards (IS), mandatory Quality Control Orders (QCOs), and BIS certification schemes legally apply to their product. Build an AI-Powered Recommendation Engine for Identifying Applicable Indian Standards that analyzes product descriptions, HS codes, technical specifications, and raw materials to recommend the exact mandatory and voluntary standards applicable to the product.
Smart City Site Planning using Autodesk Forma Site Design
Urban architects and smart city planners struggle with early-stage site layout optimization, spending weeks manually evaluating solar sunlight exposure, microclimate wind turbulence, traffic noise pollution, and building embodied carbon. Build an AI-driven Smart City Site Planning and Generative Urban Layout Optimizer integrated with Autodesk Forma that automatically generates optimized 3D building massing layouts maximizing daylight hours, minimizing wind tunnel downdrafts, and optimizing energy efficiency.
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.
Digital Twin for Well-to-Surface Optimization of Cyclic Steam Stimulation (CSS) and Sucker Rod Pump (SRP) Operations for Heavy Oil Wells of Baghewala Field.
Oil India Limited's (OIL) Baghewala Field in Rajasthan produces heavy crude oil (17°-19° API) from Jodhpur Sandstone reservoirs where high oil viscosity and asphaltenes require Cyclic Steam Stimulation (CSS / 'Huff and Puff'), but unoptimized steam injection volumes and soaking times cause high Steam-to-Oil Ratios (SOR), sand ingress, and premature reservoir cooling. Build an integrated Reservoir-to-Surface Digital Twin for Cyclic Steam Stimulation (CSS) Optimization combining thermal reservoir physics, wellbore heat loss modeling, and AI predictive control to maximize heavy oil recovery while minimizing boiler fuel gas consumption.
eRTMAC-NWIS (Nearby Wells Intelligence System): An AI-Powered Offset Well Knowledge and Decision Support Platform for Drilling Operations
Drilling engineers at Oil India Limited (OIL) encounter unexpected drilling hazards (formation kick, lost circulation, stuck pipe, shale swelling) because offset well data (drilling logs, mud weights, lithology, casing seats) is locked in legacy well archives and scattered daily drilling reports (DDRs). Build 'eRTMAC-NWIS' (Nearby Wells Intelligence System)—an AI-powered offset well correlation and real-time drilling risk forecasting platform for OIL that spatializes historical borehole logs and predicts formation pore pressures to prevent blowouts.
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.
System integration and interoperability among government digital platforms,resulting in fragmented service delivery
Citizens and departments across the Government of Maharashtra interact with dozens of siloed digital portals (Aaple Sarkar, Mahabhulekh land records, Mahadbt welfare schemes, e-Panchayat, MAITRI single window) with fragmented citizen profiles, redundant document uploads, and zero cross-departmental data interoperability. Build a unified Government Digital Platform Interoperability Framework and Consent-Driven API Gateway for Maharashtra compliant with India Enterprise Architecture (IndEA 2.0) and Open Data Exchange standards.
Efficiency in streamlining industrial approvals,compliance processes,and access to government support services
Industrial investors setting up factories in Maharashtra struggle to obtain 40+ statutory clearances (MIDC land allotment, MPCB pollution consent, Fire NOC, factory license, DISH safety, electricity power sanction) through fragmented departmental portals with slow manual file movements. Build an AI-Powered Intelligent Single-Window Industrial Approval and Compliance Acceleration Platform for MAITRI (Maharashtra Industry, Trade and Investment Facilitation Cell) with automated composite application routing, real-time SLA tracking, and dynamic regulatory compliance checklists.
Startup friendly public procurement mechanism that enables government departments to identify,pilot, procure,and scale innovative solutions from eligible startups
Innovative tech startups in Maharashtra struggle to win government procurement contracts and municipal tenders because traditional public procurement rules mandate restrictive criteria (3-year minimum prior turnover, prior government experience, high earnest money deposits - EMD) that favor legacy vendors. Build a Startup-Friendly Public Procurement and Innovation Challenge Platform for the Government of Maharashtra that provides dedicated regulatory exemptions for DPIIT-recognized startups, sandbox challenge bidding, and automated prompt payment tracking.
Gen AI Platform for Automated Content Transformation
Intelligence analysts and defense officers at NTRO handle massive volumes of heterogeneous unstructured intelligence (multilingual PDF doctrine manuals, intercepted audio transcripts, scanned tactical maps, structured tabular databases) that require rapid transformation into standardized formats (intelligence briefings, JSON knowledge graphs, executive slide decks, target profiles). Build an Enterprise Generative AI Platform for Automated Multi-Format Content Transformation for NTRO featuring local air-gapped multimodal LLMs, document layout preservation, and schema-guided structured extraction.
AI-Driven Anomaly Detection in Component Burn-In & Screening
Space-grade electronic components (FPGA, microprocessors, power MOSFETs, RF MMICs) used in ISRO satellite payloads undergo mandatory high-temperature accelerated electrical burn-in and screening (125°C for 168+ hours), where subtle early-life component degradation (gate oxide leakage, electromigration, thermal runaway) goes unnoticed in massive multi-channel voltage/current logs. Build an AI-Driven Anomaly Detection and Reliability Screening Platform for ISRO that analyzes high-frequency electrical telemetry during burn-in testing to flag micro-anomalies and predict space mission component infant mortality.
To build an AI-powered retail intelligence platform that delivers real-time shopper analytics, automated inventory visibility, and proactive queue management through on-device AI,enabling retailers to reduce stock-outs, improve customer experience, optimize staffing, and increase operational efficiency while maintaining privacy and minimizing cloud dependency.
Physical retail stores and supermarket chains in India face high shoplifting shrinkage, long checkout billing queues, and stockout revenue losses, while cloud-based video analytics solutions are too expensive and raise customer video privacy concerns. Build an AI-Powered Real-Time Retail Intelligence and Loss Prevention Platform for Qualcomm Inc running 100% on-device on Qualcomm Snapdragon edge processors that performs real-time customer footfall heatmapping, automated out-of-stock shelf detection, and cashier queue optimization.
AI-Based Intelligent Video Analytics Platform for Border Surveillance using existing CCTV Infrastructure.
Border Security Force (BSF) personnel guarding India's international borders (Pakistan, Bangladesh) face hostile infiltration, smuggling, and drone incursions across rugged terrain in dense fog, pitch-black night, and heavy monsoon rains where human sentries suffer from eye fatigue. Build an AI-Based Intelligent Video Analytics and Multi-Sensor Border Surveillance Platform for BSF / MHA that fuses thermal infrared cameras, optical PTZ cameras, ground vibration sensors, and seismic geophones to detect, classify, and track human infiltrators, crawling intruders, and low-flying rogue drones at ranges up to 3 km.