Ministry of Home Affairs
Browse and strategize across all 11 official problem statements submitted by Ministry of Home Affairs for Smart India Hackathon 2026.
Problem Statements (11)
Match My TeamAutomated Attribution of Unknown Cryptocurrency Wallets to Nearest Virtual Asset Service Providers (VASPs) through Blockchain Intelligence APIs
Indian cybercrime police investigating multi-crore investment scams, ransomware, and digital arrest frauds track stolen money into anonymous cryptocurrency wallets, but law enforcement cannot issue statutory Section 91 CrPC notices because identifying which Virtual Asset Service Provider (VASP / crypto exchange) controls the target wallet takes weeks of manual forensic analysis. Build an Automated Attribution and Clustering Platform for Unknown Cryptocurrency Wallets for the Ministry of Home Affairs (MHA / I4C) that uses Graph Neural Networks and on-chain heuristic clustering to attribute unknown wallet addresses to the nearest regulated VASP exchange in seconds.
Real-Time Identification of Fraud-Linked Cryptocurrency Exchanges from Victim-Reported Suspect Wallet Addresses through Automated Blockchain Analytics
Cyber fraud syndicates siphon stolen funds from Indian bank accounts through mule accounts into peer-to-peer (P2P) crypto trading desks and unregulated foreign cryptocurrency exchanges within 15-30 minutes of victim deposit. Build a Real-Time Fraud-Linked Crypto Exchange Identification and Mule Account Freezing Platform for the Ministry of Home Affairs (MHA / I4C) that ingests Indian banking transaction feeds, detects P2P merchant transaction patterns (UPI/IMPS micro-bursts, memo reference codes, sudden velocity spikes), and triggers automated bank account freeze requests.
Development of a Predictive Analytics Framework for Cybercrime Complaints to Forecast Likely Cash Withdrawal Locations in Advance, Enabling Generation of Actionable Intelligence for Timely and Proactive Cybercrime Intervention.
The National Cybercrime Reporting Portal (1930 helpline / cybercrime.gov.in) receives over 5,000 daily citizen complaints where lack of automated categorization and predictive analytics allows coordinated cross-state cybercrime syndicates (Jamtara phishing, Mewat sextortion, Chinese loan apps, digital arrest scams) to operate undetected across jurisdictional boundaries. Build an AI-Powered Predictive Analytics Framework for Cybercrime Complaints for MHA / I4C that clusters complaints by modus operandi (MO), predicts emerging cybercrime hotspots, and correlates suspect phone numbers, IMEI numbers, and bank accounts across state police forces.
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 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.
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.
Al-Based Fake Identity & Document Screening System
Immigration officers at international airports, sea ports, and land border checkposts under the Bureau of Immigration (MHA) face sophisticated counterfeit passports, forged visas, and identity fraud (tampered MRZ zones, photo-substitution, forged UV holograms, biometric mismatch). Build an AI-Based Fake Identity and Forged Document Screening System for the Bureau of Immigration that uses multi-spectral optical scanning (White, UV, Infrared, Coaxial), ICAO 9303 MRZ cryptographic validation, and facial deepfake/morphing detection to identify forged travel documents in under 5 seconds.
AI-Powered Criminal Network Analysis System
Organized crime syndicates, drug trafficking cartels, and interstate extortion gangs operating in India use complex multi-tier networks (gang leaders, hawala operators, weapons suppliers, field shooters, corrupt shell companies) where police investigations remain siloed across individual state police jurisdictions. Build an AI-Powered Criminal Network Analysis and Gang Topology Intelligence Platform for the National Crime Records Bureau (NCRB / MHA) that ingests First Information Reports (FIRs), call detail records (CDRs), prison visitor logs, and bank accounts to construct dynamic criminal knowledge graphs.
Secure Digital Document Management System for Legal and Investigation Documents
Criminal investigations and trial prosecutions handled by Indian police forces and central investigative agencies (CBI, NIA, Police) rely on paper Case Diaries, physical evidence ledgers, and court summons that are vulnerable to evidence tampering, physical loss, back-dating, and procedural delays under the new Bharatiya Nagarik Suraksha Sanhita (BNSS 2023). Build a Secure, Tamper-Evident Digital Document & Evidence Management Platform for Legal and Police Case Diaries for the Ministry of Home Affairs (MHA) featuring Section 105 BNSS electronic evidence compliance, cryptographic SHA-256 chain-of-custody logging, and automated chargesheet compilation.
Intelligent Identification of Hazard-Based Red Zones, Carrying Capacity Assessment, and Immediate Relocation Needs for Vulnerable Habitations
Fragile Himalayan eco-sensitive pilgrimage towns (Joshimath, Kedarnath, Manali, Shimla) face catastrophic land subsidence, slope destabilization, and traffic gridlocks due to unregulated tourist influx exceeding local ecological carrying capacities. Build an AI-Driven Hazard-Based Red Zone and Dynamic Tourist Carrying Capacity Management Platform for the Ministry of Home Affairs (MHA / NDMA) that fuses InSAR satellite ground deformation, geotechnical slope stability models, and real-time mobile cell-tower crowd densities to dynamically regulate tourist entry permits and establish prohibited construction zones.
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.