Project Lead (Kijani AI Scout): Sensor Data Labeling & Calibration
I labeled and analyzed environmental sensor data for an AI-driven soil nutrient analysis tool. My work focused on calibrating sensor outputs and improving automated data reporting for GPS-mapped agricultural plots. The primary objective was ensuring data accuracy for precision agriculture applications. • Applied classification techniques to categorize environmental and soil sensor data. • Validated and curated geospatial data for optimal machine learning model performance. • Utilized internal/proprietary software and ESP32 platforms for automated data collection and annotation. • Collaborated with a technical team on project scope and quality control.