This research proposes an advanced system for landmine detection combining the internet of things and reinforcement learning, which seeks to resolve issues in conventional methods that suffer from high false positive rates, slow reaction times, and poor adaptability across different environmental conditions. Others like metallic detectors and sniffer dogs also pose greater danger for wrong threat identification, more so due to sluggish attempts. The system proposed in this study is novel in that it customizes metal detection by integrating a sensor into military boots, thus permitting constant scanning without the use of hands. A meta-learning-based Machine Learning model improves detection... More >