BAYYTI-B1 — Smart Water Control System with AI optimization
Founder and Technical Project Lead of BAYYTI-B1 / IELIVATE Smart Water Control System, an AI-powered, solar-driven smart irrigation and pest control solution designed for off-grid and water-scarce regions.
Led the project end-to-end from concept, system architecture, and prototyping to pilot readiness and go-to-market strategy. The solution integrates IoT hardware, embedded systems, AI models, and cloud/mobile platforms to reduce water waste, optimize irrigation decisions, and improve agricultural productivity.
Designed and led the full system architecture combining AI, IoT sensors, edge devices, and cloud/mobile dashboards. Integrated AI models (TensorFlow Lite) for pest detection, decision-making, and predictive irrigation optimization.
Developed a solar-powered smart control box capable of autonomous operation in remote environments. Built embedded systems using Raspberry Pi and edge computing with secure APIs (Flask) for real-time control and data exchange.
Implemented smart irrigation logic using soil, weather, flow, and pressure data, achieving 20–40% water savings and reducing pesticide use by up to 50%.
Oversaw hardware design including solenoid valve control, sensors, camera modules, battery optimization, and rugged outdoor enclosures.
Designed mobile and cloud dashboards for full remote monitoring, scheduling, alerts, analytics, and reporting.
Defined the business model (device sales + SaaS analytics), financial projections, and market entry strategy targeting smallholder farmers, cooperatives, NGOs, and government programs.