International Journal of Science, Engineering and TechnologyAuthors: Aniket Digambar Fartade, Professor Bangar Abhishek Popat, Professor S. B. Bhosale, Dr. Khatri A.A.
Abstract: Forgetting an umbrella is a small problem, but it happens to almost everyone, and ordinary weather apps do little about it because they cannot tell whether you are actually carrying one. Smart umbrellas try to close that gap with sensors, a microcontroller and a phone connection. This paper presents a focused narrative review that synthesises twelve sources: five foundational works on IoT architectures and protocols, Random Forests, LSTM networks and TinyML [1]–[5], four research prototypes of IoT umbrellas [6]–[9] and three commercial or hobbyist designs [10]–[12]. The review examines three connected themes: the technologies and design elements on which a rain-aware umbrella rests, the strength of the evidence for existing designs, and the conditions that matter for deployment. Existing designs mostly detect rain, track location or guide navigation. In the sources we could access, none documents a system that joins a learned rain-probability estimate, on-device inference and carry detection to decide when a reminder is really worth sending, and none reports a head-to-head accuracy test of prediction models on umbrella hardware. The review contributes two comparative tables, a conceptual ESP32-based hybrid edge–cloud architecture and a prioritised agenda of research gaps and future directions. The architecture is a proposal only; it has not been built or tested, and no accuracy figures are claimed for it.
