AgroDropAI turns ordinary village pumps and smartphones into AI-powered water guardians — detecting arsenic, iron, salinity, and microbial contamination before they harm your community or crops.
Arsenic contamination affects an estimated 20 million people in Bangladesh — mostly in rural areas relying on tube wells. Iron contamination, salinity intrusion from climate change, and microbial risks compound the problem. Most communities have no affordable, accurate way to test their water regularly. AgroDropAI makes real-time, AI-powered water monitoring possible with equipment they already own.
Point a phone camera at a water sample using AgroDropAI's guided capture. Computer vision models analyse colour, turbidity, and visual markers to detect contamination.
Clip-on sensors attach to existing village pump outlets. They continuously monitor conductivity, pH, turbidity, and temperature — sending data to the AgroDropAI cloud.
Machine learning models trained on Bangladesh-specific water data predict contamination risk — arsenic, iron, salinity, microbial — from sensor readings and weather patterns.
When contamination is detected, Purify-AI guides communities step-by-step through locally-available purification methods in plain Bangla.
AgroDropAI is seeking NGO, government, and community partners to pilot water monitoring in rural Bangladesh. Contact us to discuss collaboration.
Built by Shihab Shahriar Antor at Shahriar Labs