Natural Language Processing, Intent Detection, Topic modeling, and Sentiment Analysis

Crowd counting, facial recognition, biodiversity species classification and object detection

Satellite imagery, aerial imagery, GPS analysis, Azure open data space solutions

This machine learning solution leverages satellite imagery technology and processes captured images enriched with census data, and offers insights about rise in urbanization and poverty, and anomalies in census-measured factors like literacy, employment, and healthcare.

Gramener is the data science and technology partner of Microsoft and World Mosquito Program's initiative to fight dengue with lab-bred mosquitoes. We are using satellite imagery to build machine learning solutions to identify optimal release points for mosquitoes based on population density.

In collaboration with SEEDS India, we are leveraging satellite imagery and applying Deep Learning models to identify coastal locations that get vulnerable during flood and cyclone.