Built on modern microservices, AI/ML, and enterprise-grade infrastructure
Scalable, resilient, and future-proof technology stack
Each module runs independently using Docker and Kubernetes for maximum scalability and fault tolerance. Update one module without affecting others.
RESTful and GraphQL APIs enable seamless integration with existing systems—ERP, CCTV, IoT sensors, payment gateways, and third-party services.
Apache Kafka and Redis for streaming data processing. Updates flow from field to dashboard in under 2 seconds.
Computer vision models trained on 100,000+ images of Indian roads detect potholes, cracks, and surface damage with 92% accuracy.
Time-series forecasting predicts bin overflow 24-48 hours in advance based on historical patterns and real-time sensor data.
Natural language processing automatically categorizes citizen complaints in English, Hindi, and regional languages.
ML algorithms recommend optimal staff deployment based on workload forecasts, historical productivity, and zone requirements.
Full compliance with Government of India cybersecurity guidelines and CERT-In standards for government applications.
AES-256 encryption at rest, TLS 1.3 in transit. All citizen data and operational information secured to banking-grade standards.
Information security management system certified to international standards with annual audits.