An advanced, AI-driven early warning system developed by Allen Shaji. We continuously monitor soil dynamics to predict geological anomalies before they become disasters.
Deploying a network of smart IoT sensors connected to a proprietary machine-learning algorithm to analyze terrain health in real-time.
Deep-earth sensors measure soil moisture, tilt, pore water pressure, and acoustic emissions continuously, even in remote areas.
Data is streamed to our cloud servers where machine learning models analyze historical data and current conditions to predict failure probability.
Automated alerts are dispatched via SMS, mobile app, and local sirens hours or days before an imminent threat, ensuring safe evacuation.
Monitor active sensor arrays, view risk assessment heatmaps, and manage emergency protocols all from a centralized, intuitive command center designed for local governments and disaster response teams.
Motivated by the devastating impact of geological disasters on vulnerable communities, Allen Shaji developed the core landslide detection project that powers GeoSense. Combining a passion for hardware engineering with artificial intelligence, Allen set out to create an affordable, scalable solution that could be deployed in high-risk mountainous regions globally.
"Technology is at its best when it serves humanity. Our goal isn't just to gather data; it's to provide the crucial hours of warning that mean the difference between a statistic and a saved life."
Whether you are a local government official, an NGO, or a private entity managing vulnerable terrain, we want to work with you.