Traditional scouting evaluations for fundamental skills , like knot tying , often rely on manual observation, a process that is frequently time – consuming, subjective, and prone to personal biases or inconsistent standards. This study introduces iSCOUT, a mobile application designed to modernize the Boy Scouts of the Philippines (BSP) evaluation process by automating knot – tying assessment through a rule – based algorithm. Utilizing a mixed – methods research design, the study involved a purposive sample of thirty respondents, including senior scouts, adult leaders, and IT experts. The application was developed using the Flutter framework and TensorFlow Lite to facilitate real – time performance monitoring and digital tutorials. Technical assessments demonstrated a high level of reliability, with the system achieving an overall accuracy rate of 95.3% across eight basic scouting knots, such as the Overhand Knot and Figure of Eight. The findings suggest that incorporating hardcoded expert knowledge and immersive feedback loops significantly bridges the gap between theoretical knowledge and practical motor skill acquisition. This study concludes that iSCOUT provides a viable, objective framework for digitalizing scouting activities and reducing evaluation anxiety among scouts. Future recommendations include expanding the platform to incorporate all activities aligned with senior scout advancement to ensure long – term skill retention and instructional quality.

Keywords: Boy Scouts of the Philippines, scouting mobile application, rule – based algorithm, mobile learning,knot classification, level of performance, and knot tying