A patented wearable safety system built for high-risk environments where conventional communication networks fail.
SIREN integrates environmental sensing, motion intelligence, LoRa-based mesh communication, and predictive machine learning to detect and relay distress signals without relying on cellular or Wi-Fi infrastructure. Designed for miners, first responders, remote field workers, and anyone operating beyond the reach of standard networks.
Awarded Most Commercially Viable Project — InCITe 2026, Department of Information Technology, ASET, Amity University Noida.
- Environmental sensing — monitors temperature, humidity, gas levels, and ambient conditions in real time
- Motion intelligence — detects falls, sudden impacts, and abnormal movement patterns
- LoRa communication — transmits alerts across long distances without internet or cellular dependency
- Predictive ML — learns baseline behaviour to flag anomalies before they become emergencies
- Wearable form factor — designed to operate continuously in harsh physical conditions
- Embedded C / MicroPython
- LoRa (long-range radio communication)
- Sensor fusion (IMU, environmental arrays)
- On-device ML inference
- GitHub Actions (CI workflow)
- Ishita Dhiman — Backend/Frontend, Research, testing, and documentation
- Ishita Dham — Scrum Master Backend/Frontend, Research, and Designer
- Shishir Dwivedi — system architecture, ML pipeline, hardware integration
- Arul Gupta — Hardware design and embedded systems (foundational contributions)
Mentored by Dr. Nitasha Hasteer, Dr. Sanjay Sinha, and Dr. Kamlesh Pandey — Amity University, Noida.
Patent held. For collaboration or research inquiries: shishir.dwivedi@gingxr.com