Technology is now part of nearly everyone’s daily routine — office workers, students, gamers, remote employees, teachers, doctors, parents, influencers, call-centre agents, entrepreneurs… the list keeps growing. When people can’t quite keep up with it, they end up feeling genuinely distressed. Researchers call this technostress. Studies show it usually shows up in two main ways: some struggle to get their heads around new tools and feel anxious (techno-anxiety), while others get far too attached and can’t switch off (techno-addiction). You’ll also hear terms like techno-invasion, techno-unreliability, techno-complexity, and techno-insecurity — all different flavours of the same problem. ICT has been a massive help in computing, managing data, and connecting the world throughout the 21st century. Then COVID-19 hit and suddenly forced almost everyone into remote setups overnight, making digital tools non-negotiable. Too much information and constant pings from devices and apps are the real culprits behind rising technostress levels. Meanwhile, Artificial Intelligence and Machine Learning have delivered impressive results across education, healthcare, agriculture, and countless other fields. Because technostress now touches so many areas of life, this paper explores how ML-based approaches can spot it early and give people practical ways to cope.