Flutter / React Native
Browse and strategize across all 34 official problem statements requiring Flutter / React Native. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (34)
Match My TeamAI-Based Cognitive Gaming and Memory Assistance Platform for Elderly Dementia Patients in North Eastern Region (NER)
Elderly individuals in remote North Eastern villages with dementia face memory decline and social isolation with virtually zero access to specialized neurological centers. Build an accessible, culturally localized tablet/mobile cognitive therapy platform with adaptive memory games, regional voice guidance (Assamese/Khasi/Mizo), and caregiver progression dashboards.
Al-Assisted Early Detection System for Osteoarthritis (OA) Risk Markers in North Eastern Region (NER)
Physically demanding mountain livelihoods in the North East cause severe undiagnosed osteoarthritis, yet remote primary health centers lack orthopaedic specialists and imaging tools. Build a smartphone-based early screening tool that uses computer vision pose estimation to analyze knee joint flexion, walking gait anomalies, and clinical symptoms during field health camps.
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.
Quality assessment and grading of onions are often subjective and vary across procurement centers, resulting in disputes and inconsistencies.
Manual quality assessment of onions in agricultural mandis is subjective and prone to dispute, leading to unfair pricing for farmers and high storage losses from rotten bulbs. Build an AI computer vision grading and sorting platform combining multi-spectral/optical imaging to grade onions by diameter size, detect skin defects (sprouting, black mold, neck rot), and calculate batch market value.
Farmers often face long waiting times, lack of information regarding procurement schedules, and uncertainty about procurement status.
Farmers arriving at agricultural wholesale markets (APMC Mandis) face agonizing 12-24 hour queue waiting times, severe parking congestion, and zero visibility into real-time produce prices. Build a smart Mandi slot booking and dynamic queue management platform that enables farmers to schedule harvest arrival time-slots, receive live gate token alerts, and track commodity prices via WhatsApp / SMS.
Software System to check compliance of Packaged Commodities under Legal Metrology(Packaged Commodities) Rules, 2011 by scanning products, images and labels.
E-commerce platforms and retail stores in India frequently violate the Legal Metrology (Packaged Commodities) Rules, 2011 by omitting mandatory declarations (Country of Origin, Best Before Date, Net Quantity, MRP, Manufacturer details). Build an automated AI compliance crawler and mobile consumer verification app that uses Computer Vision and NLP to audit packaged goods listings and physical labels for statutory Legal Metrology violations.
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.
AR-Based Vocational Training Simulator for Industrial Safety in Jharkhand's Mining & Manufacturing Sector
Vocational students and industrial apprentices in Jharkhand face severe injury risks when training on high-voltage equipment, heavy blast furnaces, and underground mine machinery without hands-on practice. Build an Augmented Reality (AR) and mobile 3D vocational safety simulator (WebXR / Unity) that gamifies hazardous SOP drills (lockout-tagout, fire suppression, gas leak response) with real-time gesture assessment and skill competency scoring.
Al-Powered Vernacular Pedagogy and Real-Time Translation Tool for Mother Tongue-Based Primary Education
Tribal students in rural Jharkhand struggle in schools because curriculum materials are in English/Hindi while their mother tongues are indigenous tribal languages (Santhali, Ho, Mundari, Kudukh) lacking digital learning resources. Build an AI-powered vernacular pedagogy and real-time speech translation platform that translates school textbooks into tribal audio-visual stories, generates bilingual interactive worksheets, and supports live classroom voice translation.
A digital platform to crowdsource societal challenges and facilitate collaborative problem solving through universities and industry partnerships
Citizens in Jharkhand face local civic and environmental challenges (drinking water contamination, road potholes, illegal mining, defective streetlights) with no transparent bridge connecting grassroots problems to university innovators and government funding. Build a crowdsourced civic challenge and co-innovation platform where citizens post geotagged community issues, university student teams submit prototype solutions, and municipal departments track project implementation.
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.
Development of personalized homepage for 'Mausam' mobile application:
The official IMD 'Mausam' mobile application provides a one-size-fits-all interface that bombards users with static national data rather than prioritizing the exact information relevant to their lifestyle (e.g. farmers need rain & soil moisture, daily commuters need thunderstorm nowcasts and air quality, fishermen need wave heights and wind). Build an AI-driven personalized dynamic homepage and modular widget engine for the 'Mausam' app that adapts its UI, alerts, and content based on user persona, location, and severe weather proximity.
AI-Enabled Cooperative Capacity Building, ERP & Employment Ecosystem
India's 850,000+ Primary Agricultural Credit Societies (PACS) and cooperative societies struggle with paper registers, fragmented accounting, untrained youth, and lack of modern digital ERP systems, limiting rural job creation. Build an AI-enabled Cooperative Capacity Building, Cloud ERP, and Rural Employment Platform for the Ministry of Cooperation that provides standardized double-entry accounting, automated statutory audit compliance, cooperative skilling courses, and local rural job matching.
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.
AI-Driven Market Linkage and Smart Cataloging Mobile Application for Marginalized Artisans
Sanitation workers, liberated manual scavengers, and their families supported by the National Safai Karamcharis Finance and Development Corporation (NSKFDC) produce handcrafted goods (apparel, leather goods, organic soaps, handicrafts) under rehabilitation schemes, but lack digital cataloging skills, professional product photography, and access to mainstream e-commerce markets. Build an AI-driven smart product cataloging and direct market linkage mobile app for NSKFDC that uses computer vision to transform raw smartphone photos into studio-grade e-commerce listings with automated pricing and marketplace integration.
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-Powered Dynamic Mental Health Monitoring and Distress Prediction System for Victims of Atrocities
Students from marginalized backgrounds in residential hostels and universities face severe social isolation, caste discrimination, and academic pressure leading to depression and high dropout rates, while institutional counseling centers have zero proactive visibility. Build an AI-powered Dynamic Mental Health Monitoring and Early Distress Prediction System for residential educational institutions that analyzes passive academic attendance drops, sleep/routine check-ins, and peer sentiment to flag mental health distress early.
Smart Real-Time Monitoring & Inspection Mobile App
Field inspections of government welfare hostels, rehabilitation centers, and skill training institutes funded by the Ministry of Social Justice are plagued by fake paper inspection reports, ghost beneficiaries, and delayed compliance rectification. Build a Smart Real-Time Monitoring & Field Inspection Mobile App with hardware GPS geotagging, tamper-evident photo capture with AI infrastructure quality grading, and automated non-compliance escalation workflows.
AI-Powered Real-Time Detection and Prevention of Voice Cloning Impersonation Attacks
Cybercriminals increasingly use deepfake AI voice cloning in real-time phone calls (vishing) to impersonate family members, corporate CEOs, and bank officials for financial extortion and fraud, with existing audio forensics only working on post-recorded audio. Build an AI-Powered Real-Time Voice Cloning Detection and Prevention System for mobile devices and telecom gateways that analyzes incoming live call audio streams in sub-200 milliseconds, detecting synthetic acoustic artifacts, neural vocoder phase jitter, and lack of physiological vocal tract dynamics.
Smart Al-Enabled Rapid Feed and Silage Quality Testing System for Dairy Farmers
Indian dairy cattle suffer from low milk productivity and nutritional deficiencies due to adulterated cattle feed and poor-quality fermented silage (high moisture, mold, low crude protein), while laboratory chemical feed testing takes 7-10 days. Build a Smart AI-Enabled Portable Feed and Silage Quality Testing System for DAHD that uses handheld Near-Infrared (NIR) spectroscopy and computer vision to measure Crude Protein (CP), Neutral Detergent Fiber (NDF), moisture content, and aflatoxin contamination in 60 seconds.
Design and Develop a Modular Autonomous Mobile Robot (AMR) Platform for Smart Warehouse Automation
Modern manufacturing and warehouse facilities require flexible Autonomous Mobile Robots (AMRs) for material handling, but commercial robots feature rigid chassis designs that cannot adapt to changing payload types (pallet lifters, conveyor rollers, robotic arm integration) or navigate dynamic industrial aisles. Build a Modular Autonomous Mobile Robot (AMR) Platform and digital engineering twin designed in Autodesk Fusion 360 combining modular snap-on payload attachments, omnidirectional Mecanum drive kinematics, LiDAR SLAM, and ROS2 fleet management.
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.
Design and Develop a Smart Mobile Medical-Waste Collection and Segregation System
Hospital healthcare workers and sanitation staff face high exposure risks to infectious pathogens, needle-stick injuries, and hazardous biomedical waste during manual collection from hospital wards and ICUs. Build a Smart Autonomous Mobile Medical-Waste Collection and Segregation Robot designed in Autodesk Fusion 360 featuring multi-compartment color-coded biomedical waste bins (Yellow, Red, Blue, White), contactless lid actuation, UV-C room disinfection, and autonomous LiDAR navigation.
Passive Colorimetric H2S Exposure-Dosimeter Wristband with AI-Based Quantitative Reading
Refinery workers at MRPL face chronic low-level Hydrogen Sulfide (H2S) toxic gas exposure (1-10 ppm) that causes neurological damage over time, which standard electronic gas detectors miss because they only sound alarms at acute emergency thresholds (>10 ppm) and require batteries. Build a Passive Colorimetric H2S Exposure-Dosimeter Wristband and AI-Based Quantitative Smartphone Reader that continuously accumulates chemical exposure on a metal-salt colorimetric film and uses smartphone camera computer vision with color calibration to calculate exact cumulative time-weighted average (TWA) dosage.
Edge-AI Based Distributed Fleet Coordination for Autonomous Mobile Robots (AMRs) in Smart Warehouses
Autonomous Mobile Robots (AMRs) operating in dynamic industrial warehouses and military logistics depots suffer from collision deadlocks and network latency bottlenecks when coordinated by centralized servers. Build an Edge-AI Based Distributed Fleet Coordination and Decentralized Multi-Agent Path Finding (MAPF) platform for Bharat Electronics Limited (BEL) that uses peer-to-peer V2X communication, spatial reservation grids, and distributed consensus to coordinate 50+ AMRs in GPS-denied environments with zero central point of failure.
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.
Security Assessment of the World Monitor application
Open-source intelligence (OSINT) and global situational awareness platforms (like 'World Monitor') aggregating live global news, military flight tracking, vessel AIS, and satellite conflict data are vulnerable to API tampering, data poisoning, and unauthorized reverse-engineering. Build an Automated Security Assessment and Red-Teaming Framework for Global OSINT / World Monitor Applications for NTRO that audits web client architecture, tests API endpoints against OWASP Top 10 vulnerabilities, and evaluates supply chain dependency risks.
AI-ML based Intelligent Dead Reckoning system for seamless navigation
Planetary exploration rovers (like Chandrayaan lunar rovers) and autonomous vehicles navigating deep underground tunnels or dense urban canyons face prolonged GPS/NavIC satellite signal blackouts where classical Inertial Dead Reckoning accumulates rapid integration drift and position errors. Build an AI-ML Based Intelligent Dead Reckoning and Sensor Fusion Navigation System for ISRO that combines IMU accelerometer/gyroscope readings, wheel-odometry slip correction, and Visual Odometry using deep learned kinematic error models to maintain sub-meter positioning accuracy during GNSS denial.
Development of an AI-Based Virtual Camera Tracking System for Coarse Alignment of Mobile Free Space Optical Communication (FSOC) Terminals
Launch vehicle rocket tracking during satellite lift-off at ISRO (Satish Dhawan Space Centre SHAR) relies on ground optical tracking telescopes, where high-speed rocket acceleration, cloud occlusions, rocket exhaust plumes, and camera vibrations cause traditional image processing to lose optical track. Build an AI-Based Virtual Camera Tracking and Coarse-to-Fine Trajectory Prediction System for ISRO that combines deep object detection, multi-scale Kalman filters, and physics-based rocket launch kinematics to maintain continuous lock-on tracking through cloud occlusions.
Low Latency and Efficient Voice Activator for Edge Devices
Spacecraft cockpits, defense helmets, and battery-powered satellite edge devices require hands-free voice command activation, but existing wake-word models consume high memory, have noticeable latency (>500ms), and trigger frequent false activations on background engine noise and cabin chatter. Build a Low-Latency, Ultra-Low Power Voice Activator and Wake-Word Engine for Edge Devices for ISRO in C++/Rust that operates on microcontrollers (<256 KB RAM) with sub-100 millisecond activation latency, streaming acoustic keyword spotting, and zero-shot custom wake-word enrollment.
iTantra -Indian Multilingual TTS & STT Aided Neural Transceiver Radio Access for low bitrate links
Disaster management responders, remote maritime fishermen, and defense field units across India communicate over low-bandwidth tactical VHF/HF radios and satellite transponders where voice communication is distorted by static noise and limited by language barriers across multi-state teams. Build 'iTantra'—an Indian Multilingual TTS & STT-Aided Neural Transceiver Radio Platform for ISRO that compresses voice into ultra-compact semantic text tokens (sub-100 bps), translates speech in real time across 12+ Indian languages, and resynthesizes voice in authentic speaker timbre.
A field-deployable AI-powered Smart Farming Assistant that helps farmers detect crop diseases, pests, nutrient deficiencies, and irrigation needs at an early stage, while improving resilience against droughts, floods, heat waves, and other agricultural risks common in India. The solution should enable higher yields, lower input costs, more efficient water usage, and faster response to emerging threats through real-time on-device intelligence.
Smallholder farmers in India lose 25-40% of crop yields to unpredictable pest infestations, incorrect fertilizer application, and water stress, while existing agritech apps fail because they require constant high-speed cloud internet that is unavailable in rural fields. Build a Field-Deployable AI Smart Farming Assistant for Qualcomm Inc running 100% on-device on Qualcomm Snapdragon mobile platforms that performs instant offline crop disease diagnosis, soil nutrient recommendations, and vernacular voice advisories.
A secure, AI-powered Personal Health Companion that delivers real-time, privacy-preserving health monitoring and early warning capabilities, helping individuals recognize health risks before they become emergencies. The solution should improve resilience during heat waves, floods, pollution events, and other disasters common in India while enabling continuous health support through on-device intelligence.
Patients with chronic cardiovascular and metabolic diseases in India suffer sudden fatal cardiac events (arrhythmias, heart attacks) because standard smartwatches only record passive fitness metrics and upload sensitive biometric data to commercial cloud servers with delayed analysis. Build a Secure, Real-Time AI Personal Health Companion for Qualcomm Inc running on Qualcomm Snapdragon Wear platforms that performs on-device ECG arrhythmia classification (Atrial Fibrillation, PVCs), continuous blood pressure estimation, and automated emergency SOS dispatch with zero cloud latency.
AI-Based Predictive Personnel Stress and Welfare Monitoring System for Uniformed Forces
Central Armed Police Forces (CAPF: CRPF, BSF, ITBP, CISF, SSB) deployed in high-stress operational environments (counter-insurgency, high-altitude border posts, anti-Naxal operations) suffer from extreme psychological stress, sleep deprivation, and operational burnout leading to suicides and fratricide, while personnel avoid seeking help due to social stigma. Build an AI-Based Predictive Personnel Stress, Mental Health, and Welfare Monitoring System for CAPF that analyzes passive biometric wearables, voice biomarkers during leave calls, sleep architecture, and operational hardship scores to flag psychological distress early.