Bharat’s Own Next Generation AI Powered Shape Shifting Mobility An indigenous multi modal platform forged for the land of extremes from the blazing sands of the Thar to the icy heights of the Himalayas. Powered by cutting edge AI and edge intelligence, it morphs in real time to serve the nation in transport, defense, and disaster relief.
IndiMorph integrates state-of-the-art deep learning models, real-time control logic, digital twin visualization, and cloud-native DevOps practices for rapid innovation in smart mobility.
Terrain classification, 3D CAD generation, and CFD optimization using EfficientNetV2, MobileNetV2, and reinforcement learning for adaptive morphing decisions.
Lightweight inference pipeline on Jetson Nano/Raspberry Pi with real-time telemetry logging, PID control, and LSTM-based health monitoring.
Arduino firmware for Nitinol wire and pneumatic system control with Python serial bridge for robust, thread-safe communication.
Unity-based real-time simulation synchronized with physical and AI states via MQTT for live visualization and operator control.
Prometheus monitoring, Grafana dashboards, JWT authentication, and Terraform deployment automation for scalable cloud infrastructure.
Structured data logging, OpenFOAM CFD simulations, Unity batch runners, and cloud storage integration for research reproducibility.
Advanced machine learning modules for terrain perception, 3D shape generation, and aerodynamic optimization enabling intelligent morphing decisions.
EfficientNetV2 and MobileNetV2 models for real-time terrain classification using camera and IMU data fusion.
VQGAN3D/UNet/Transformer3D architectures for 3D vehicle shape synthesis and design exploration.
Reinforcement learning with OpenFOAM integration for aerodynamic optimization and morphing pattern discovery.
Robust actuator management and sensor integration for reliable shape-shifting capabilities across diverse operational environments.
Real-time servo control, serial command parsing, and safety validation for Nitinol wire and pneumatic system actuation.
Thread-safe communication layer with configurable serial ports and extensible command API for hardware integration.
Decision-making engine translating AI outputs into actuator commands with context-aware pattern mapping.
LSTM-based anomaly detection for predictive maintenance and fault detection in actuator and sensor systems.
Real-time simulation and visualization platform providing live digital twin capabilities for operators and researchers.
Real-time data streaming from physical and AI systems to Unity visualization with low-latency, high-throughput communication.
Rich, interactive 3D visualization with real-time updates reflecting morphing, terrain changes, and sensor readings.
UDP socket bridge and MQTT relay for bidirectional communication between backend systems and Unity digital twin.
Batch and scenario-based simulation for research and testing with comprehensive logging and analysis capabilities.
End-to-end morphing cycles demonstrating the complete system integration from sensing to actuation and monitoring.
Vehicle powers on, initializing all hardware, edge controllers, and backend services with health checks and calibration.
Edge controller runs TFLite terrain classifier on live camera and IMU data, outputting current terrain type for morphing decisions.
Morph logic module receives terrain type and mission mode, computes optimal actuator pattern, and sends commands via Python serial bridge.
Arduino firmware actuates Nitinol wires and pneumatic systems, morphing the vehicle shape according to computed patterns.
Current state published via MQTT and visualized in Unity, providing live digital twin for operators and researchers.
LSTM health model monitors for anomalies while operators can view and control the system via web dashboard.
Meet the brilliant minds behind IndiMorph a diverse team of researchers, engineers, and innovators driving the future of AI powered adaptive mobility.
AI Researcher and Developer
Specializes in deep learning and computer vision with advanced experience in autonomous systems.
AI Researcher and Developer
Specialist in AI driven perception and control systems with expertise in shape shifting mechanisms.
Full Stack Developer & Designer
Full stack developer specializing in cloud infrastructure and real time data processing systems.
UI/UX Designer
Specializing in intuitive interfaces, User centered design, and seamless experience for smart mobility platforms.
Full Stack Developer
Full stack developer specializing in cloud infrastructure and real time data processing systems.
AI & Embedded Systems
Specializes in real-time control systems and embedded AI, contributing to the integration of deep learning models.
Collaborating with leading institutions and organizations to advance AI-powered adaptive vehicle technology.
University partnerships for cutting-edge AI and robotics research
Technology transfer and commercialization partnerships
Military and security sector technology development
Emergency and humanitarian aid applications