Authors : J. Anitha; Swetha B.; Saradha Shree R.

Volume/Issue : ICMST-2025

Google Scholar : https://tinyurl.com/3v5w9uz6

Scribd : https://tinyurl.com/2np6u8v2

DOI : https://doi.org/10.38124/ijisrt/25nov753

Abstract : In offices, public areas, and educational institutions, notice boards are an essential communication tool. However, because their displays are always on, conventional digital notice boards frequently require manual content entry and use constant power. This paper presents an AI-enabled Internet of Things digital notice board that combines Natural Language Processing (NLP) summarization for succinct content presentation, Optical Character Recognition (OCR) for automatic text extraction from uploaded images or PDFs, and a PIR sensor-based energy optimization mechanism to minimize needless power consumption. An ESP32 microcontroller with wireless connectivity controls the system, which allows remote uploads via a web interface. While the summary module reduces lengthy text into shorter, comprehensible notices, the OCR pipeline preprocesses scanned photos to improve recognition accuracy.In order to ensure energy-efficient operation, a PIR sensor automatically regulates the display's power state based on human presence. Compared to traditional always-on digital notice boards, experimental evaluation shows significant energy savings, lower update delay, and better readability of lengthy notices.

Keywords : IoT, OCR, Text Summarization, PIR Sensor, ESP32, Digital Notice Board, Energy Optimization.