Digital Memory Cloud: An IoT-Based Second Brain

Authors:

Prof. Dr. Sameer Nagtilak, Aarya Suryawanshi, Arpana Manganur, Komal Khot, Janaki Koravi

Department of Electronics and Telecommunication Engineering KIT’s College of Engineering, Kolhapur, India

Abstract—Human memory limitations often result in the misplacement and loss of everyday objects, creating challenges in locating frequently used belongings. Existing solutions such as GPS trackers and Bluetooth tags provide limited tracking capabilities and often lack efficient contextual monitoring. This paper proposes a Digital Memory Cloud, an IoT-based Human Cloud system that enhances object monitoring through Bluetooth Low Energy (BLE) beacon technology, embedded processing, wireless communication, and cloud-based visualization.

BLE beacons attached to everyday objects periodically broad- cast unique identifiers that are detected by ESP32 modules. Received Signal Strength Indicator (RSSI)-based proximity es- timation is employed to determine object status, while real- time data is transmitted to a cloud platform for storage and monitoring. The collected information is processed and organized into structured digital memory records that enable efficient object recall through a web-based dashboard.

Experimental evaluation demonstrates reliable performance, low latency, scalability, and effective real-time monitoring, mak- ing the system suitable for human-centric IoT and digital memory applications.

Index Terms—Internet of Things, BLE Beacon, Digital Mem- ory Cloud, ESP32, RSSI, Context-Aware Systems