C++ / Embedded C
Browse and strategize across all 22 official problem statements requiring C++ / Embedded C. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (22)
Match My TeamSolar-Powered Smart Mini Cold Storage System for Fresh Vegetables in North Eastern Region (NER)
Horticultural farmers across remote North Eastern hills suffer massive post-harvest vegetable spoilage due to frequent grid power failures and lack of localized cooling facilities. Build an IoT and embedded digital twin monitoring platform for decentralized, solar-powered cold storage units that tracks chamber temperature, humidity, battery autonomy, and storage lifespan.
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.
Design and develop a smart, solar-powered drying and compact packaging system to support home-based agarbatti manufacturing by rural women artisans.
Rural women artisans producing hand-rolled incense sticks (agarbatti) suffer severe breakage, fragrance evaporation, and fungal mold during monsoon weather due to reliance on open sun drying. Build a smart, solar-powered closed drying chamber with PID temperature/humidity regulation, gentle laminar airflow, and a compact heat-sealing packaging workstation that preserves essential oil aromas.
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.
Smart Water Purification and Quality Monitoring System for Rural and Mining-Affected Areas.
Rural communities and mining belts in Jharkhand suffer from groundwater contamination by heavy metals (arsenic, fluoride, iron) and bacterial pathogens, while existing water treatment plants break down unnoticed due to lack of continuous monitoring. Build an IoT and AI-enabled smart water purification and quality monitoring platform featuring multi-parameter water sensor probes, automated filter backwashing, and real-time community water safety dashboards.
To develop an AI/ML-enabled adaptive noise cancellation (ANC) system that effectively suppresses stationary, non-stationary, and impulsive defence noises while maintaining high speech intelligibility and real-time performance on embedded hardware.
Soldiers in tanks, armored combat vehicles, and military cockpits operate under extreme acoustic noise (>115 dB from diesel engines, gunshots, rotor blades) that renders tactical radio communication unintelligible and causes hearing loss. Build an AI-enabled low-latency Adaptive Noise Cancellation (ANC) and speech enhancement system in DSP/FPGA that suppresses non-stationary industrial/combat noise while preserving mission-critical voice clarity in under 5 milliseconds.
AI-Enabled Real-Time Digital Twin System for Health Monitoring, Fault Prediction and Mission Reliability Enhancement of Aero Piston Engines used in MALE UAVs.
Marine gas turbine propulsion engines on Indian Navy warships operate under brutal marine conditions (salt-air corrosion, thermal shock, variable combat load), where unexpected compressor fouling or turbine blade failure can disable a warship at sea. Build an AI-enabled real-time Digital Twin and predictive health monitoring system for marine gas turbines that ingests high-rate telemetry (spool speeds, exhaust gas temperatures, vibration FFT, fuel flow) to detect thermal degradation and predict component Remaining Useful Life (RUL).
Low-Cost Deployable Seafloor Metal Detection Sensor for Ocean Resource Exploration
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.
Development of a Low-Cost Precision Guidance and Smart Electronic Fuze System for a 155 mm Artillery Shell
Unguided artillery shells and rockets used by the Indian Armed Forces suffer from high circular error probable (CEP > 150m at 30 km range), requiring high ammunition expenditure and risking collateral damage, while foreign precision-guided kits cost over $30,000 per shell. Build an indigenous Low-Cost Precision Guidance and Smart Electronic Multi-Option Fuze architecture for artillery shells combining anti-jam NavIC/GPS GNSS steering, MEMS inertial navigation, aerodynamic course correction canards, and programmable multi-mode proximity/impact/delay fuzing.
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.
Vision Based Autonomous Navigation for Unmanned Ground Vehicle for Outdoor environment
Unmanned Ground Vehicles (UGVs) deployed in military border reconnaissance and tactical off-road missions face severe GPS-denial, electronic jamming, and unpredictable rough terrain (boulders, ditches, tall grass) where standard wheel-odometry fails due to tire slip. Build a Vision-Based Autonomous Navigation and Visual-Inertial SLAM System for UGVs for Bharat Electronics Limited (BEL) combining stereo visual odometry, semantic terrain traversability estimation, and dynamic obstacle avoidance in GPS-denied tactical environments.
Quantum-Inspired Intelligent Traffic Route Optimization in Transportation Systems Using Metaheuristic Optimization
Metropolitan traffic congestion in Indian cities causes massive fuel waste and carbon emissions, while classical Dijkstra/A* routing algorithms fail when thousands of vehicles simultaneously request dynamic re-routing around traffic jams. Build a Quantum-Inspired Intelligent Traffic Route Optimization Platform for Egreen Quanta that formulates urban network flow as a Quadratic Unconstrained Binary Optimization (QUBO) problem, solving multi-vehicle dynamic route assignment via Simulated Quantum Annealing (SQA) and QAOA heuristics in real time.
Hybrid Quantum Machine Learning Platform for Early Disease Detection
Early detection of complex diseases (multi-gene cancers, Alzheimer's, autoimmune disorders) from high-dimensional multi-omics datasets (genomics, transcriptomics, clinical biomarkers) suffers from the 'Curse of Dimensionality' where classical machine learning overfits on small clinical sample sizes. Build a Hybrid Quantum Machine Learning (HQML) Platform for Early Disease Detection for Egreen Quanta that utilizes Quantum Neural Networks (QNN) and Variational Quantum Classifiers (VQC) with parameterized quantum circuits (PQC) in PennyLane/Qiskit to classify disease biomarkers with superior generalization.
AI-Based Interactive Quantum Algorithm Learning Platform
Engineering students and developers struggle to learn quantum computing because abstract linear algebra concepts (superposition, entanglement, phase kickback, quantum Fourier transform) are taught theoretically without interactive visual intuition or real-time circuit execution. Build an AI-Based Interactive Quantum Algorithm Learning Platform for Egreen Quanta featuring a dynamic 3D Bloch Sphere visualizer, drag-and-drop quantum circuit builder with real-time statevector calculations, and an AI conversational quantum tutor.
Design & Development of a High-Sensitivity Micro barometer Infrasound sensor
National strategic surveillance under NTRO requires continuous monitoring for covert low-yield underground/atmospheric nuclear tests, missile test launches, and volcanic eruptions, which produce sub-audible low-frequency infrasound acoustic waves (0.01 Hz to 20 Hz) that propagate thousands of kilometers. Build a High-Sensitivity Digital Microbarometer Infrasound Sensor and Signal Analysis Platform for NTRO combining high-dynamic-range differential pressure transducers, acoustic wind-noise suppression filters, and Progressive Cross-Correlation (PMCC) array processing.
Supervisory Analytics Tool for SOC Assessment (SAT-SA)
National cybersecurity leadership at NTRO struggles to evaluate whether their internal Security Operations Centers (SOCs) and defensive telemetry pipelines are truly capable of detecting sophisticated APT attacks before a real breach occurs. Build the 'Supervisory Analytics Tool for SOC Assessment' (SAT-SA) for NTRO that automatically emulates adversary attack kill-chains (MITRE ATT&CK), tracks detection sensor coverage gaps, and quantifies Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
Enterprise Cryptographic Discovery & Analysis Tool (ECDAT)
Enterprise infrastructure across national security agencies (NTRO, defense networks) contains legacy software repositories, microservices, databases, and network appliances using undocumented, deprecated cryptographic algorithms (MD5, DES, RSA-1024, hardcoded AES keys) that violate modern cryptographic standards. Build an Enterprise Cryptographic Discovery and Analysis Tool (ECDAT) for NTRO that performs static source code analysis, dynamic binary inspection, and network certificate scanning to build an automated Cryptographic Bill of Materials (CBOM) and guide Post-Quantum migration.
DepthWizard - Single-View Height Estimation and 3D Flythrough
Disaster responders, defense intelligence officers, and urban planners working with ISRO satellite data frequently have access to only single optical monocular satellite images (with no stereo pairs or LiDAR elevation data available), making 3D elevation analysis and building height measurements impossible. Build 'DepthWizard'—a Single-View Height Estimation and 3D Photorealistic Flythrough Generation Platform for ISRO that uses deep monocular depth foundation models, solar shadow geometry trigonometry, and 3D neural rendering to reconstruct 3D cityscapes from a single 2D satellite image.
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.
Helmet mounted conformal antenna for tactical communications in urban CQB environments.
Central Armed Police Forces (CAPF / CRPF / BSF) conducting anti-terrorist operations in dense jungles (Bastar) and urban close-quarter battle (CQB) environments suffer from communication loss when bulky tactical whip antennas break, snag on dense jungle branches, or give away soldier positions. Build a Low-Profile, Helmet-Mounted Conformal Microstrip Patch Antenna for Tactical UHF/VHF Military Communications for the Ministry of Home Affairs (MHA) that conforms aerodynamically to ballistic helmet geometry with omnidirectional radiation patterns, high gain, and ballistic impact resistance.
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.
Flash Flood Prediction System for Hilly Regions using Multi-Source Data Theme
Mountainous Himalayan states (Himachal Pradesh, Uttarakhand, Sikkim) suffer devastating flash floods and debris flows caused by localized cloudbursts, glacial lake outbursts (GLOFs), and landslide dam failures (LLDAM) that wipe out downstream villages with zero warning. Build a Real-Time Flash Flood Prediction and Multi-Source Data Fusion Early Warning System for MHA / NDMA combining Doppler weather radar rainfall nowcasts, satellite hydrological soil saturation, GNSS water vapor surges, and ultrasonic river water-level IoT sensors to forecast flash floods 30-60 minutes in advance.