Transportation & Logistics
Browse and strategize across all 8 official problem statements for Transportation & Logistics. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (8)
Match My TeamDevelopment of an Intelligent Freight Forecasting Model for Optimized Vessel Chartering and Bulk Cargo Procurement from overseas to East Coast of India
SAIL relies on volatile daily spot market chartering to import bulk coking coal from Australia, the US, and Mozambique to East Coast Indian ports, resulting in costly freight premiums and vessel demurrage. Build an AI freight rate forecasting and chartering optimizer that models international Baltic indices, trade lane dynamics, and Indian port draft/LOA constraints to recommend optimal short/mid-term contract entry windows.
Al-Powered Automatic Block Planning to Maximize Asset Availability for Train Operations on Indian Railways
Indian Railways Engineering, Traction (OHE), and Signalling departments plan track maintenance blocks in decentralized silos (TMS, SMMS, TDMS), causing severe train delays and under-utilized track downtime. Build an AI-powered automated block planning and multi-department scheduling optimizer that synchronizes joint maintenance windows, models train traffic congestion, and maximizes track availability.
Development of an Online Verification System for Weighing and Measuring Instruments
Verification and stamping of commercial weighing and measuring instruments (petrol pumps, weighbridges, electronic retail scales) by Legal Metrology officers in India is hindered by manual paper verification certificates, making it difficult to detect expired calibrations and forged stamping seals. Build an online Legal Metrology verification management and field inspection platform with NFC/QR digital verification certificates, automated re-verification reminders, and public consumer fraud reporting.
Adaptive Variable Resolution 2.5D Lidar Mapping for Dynamic Environment Perception
Autonomous military ground vehicles (UGVs) operating in dynamic tactical combat zones encounter high-speed incoming threats and complex rugged terrain, where fixed-resolution 3D LiDAR creates processing bottlenecks on irrelevant empty space while missing distant hazards. Build an Adaptive Variable-Resolution 2.5D/3D LiDAR Mapping and semantic obstacle segmentation engine that dynamically concentrates laser point density on regions of interest (ROI), moving threats, and traversability bottlenecks.
City-Wide AI Engine for Multi-Camera ANPR Trajectory Tracking and Urban Traffic Analytics
Police and traffic authorities across major Indian cities struggle to track stolen suspect vehicles or reckless drivers across thousands of disconnected municipal CCTV cameras because manual camera switching is slow and vehicles change appearance across different lighting angles. Build a City-Wide AI Engine for Multi-Camera ANPR Trajectory Tracking and Urban Mobility for Bharat Electronics Limited (BEL) that automatically extracts vehicle license plates, computes spatial-temporal re-identification (ReID) embeddings, and reconstructs 2D/3D vehicle travel routes on a city GIS map in real time.
AI-Powered Monitoring & Analysis of Bitcoin Transaction Traffic
Transnational cybercriminal syndicates, drug cartels, and ransomware operators use Bitcoin and privacy-enhancing techniques (CoinJoin mixers, multi-hop layering, nested peel chains) to launder illicit proceeds across pseudonymous blockchain addresses. Build an AI-Powered Bitcoin Transaction Monitoring and Forensic Tracing Platform for the National Technical Research Organisation (NTRO) that ingests live mempool and UTXO transaction graphs, de-anonymizes mixing clusters, detects illicit money laundering patterns, and traces dirty funds to centralized crypto off-ramps.
Student Innovation
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.
Student Innovation
AICTE Open Innovation: Smart Vehicles & Commutation (Hardware) — Commercial electric two-wheelers and retrofitted EV three-wheelers in India suffer from sudden battery fires, inaccurate State-of-Charge (SoC) displays, and battery degradation due to low-cost unmonitored Battery Management Systems (BMS). Build an Intelligent Automotive Smart Battery Management System (BMS) and Connected Telematics Hardware Box featuring active individual cell voltage monitoring (14S/16S LiFePO4/NMC), dynamic active cell balancing, multi-channel thermal NTC sensors, and real-time 4G CAN-bus telemetry.