Virtual Booth

EduScope AI is an intelligent microscope application powered by artificial intelligence, specifically designed to enhance teaching, learning, and research in the field of biology. This innovation addresses several key challenges commonly encountered in laboratory education, such as difficulties in accurately identifying microscopic structures, time consuming manual labeling, and inconsistent results caused by human error. These limitations often reduce students’ motivation and engagement during laboratory sessions. EduScope AI aims to overcome these barriers by providing a smart, interactive, and automated platform that assists users in observing, analyzing, and understanding cell structures efficiently and accurately. The primary objectives of EduScope AI are threefold. First, to develop a mobile based application that can automatically detect, label, and classify major organelles such as the nucleus, cytoplasm, mitochondria, and cell membrane in real time using image recognition algorithms. Second, to integrate digital data storage that allows users to review and compare previous microscopic analyses for continuous learning and record keeping. Third, to create an accessible, affordable, and user-friendly tool that supports both educational institutions and research laboratories in improving their analytical processes and scientific literacy. The development process involves multiple technological integrations, including AI image classification, deep learning model training, mobile software engineering, and cloud database management. Once a microscopic image is captured through a smartphone connected microscope or digital slide scanner, the AI system processes it instantly and identifies the organelles using pre-trained convolutional neural networks. The results are displayed with color coded labels, accompanied by concise descriptions and interactive 3D visualizations to support conceptual understanding. The app also generates automatic reports summarizing each observation, which can be downloaded or shared for academic documentation. EduScope AI introduces novelty by merging artificial intelligence, educational technology, and microscopy into a unified learning ecosystem. Its impact extends beyond classroom boundaries, providing opportunities for healthcare, agriculture, and environmental research sectors to adopt smart imaging solutions at a significantly lower cost. The innovation contributes to sustainable digital transformation in education and promotes equal access to advanced scientific tools, particularly for students in resource limited schools. In terms of commercialization, EduScope AI offers great potential through subscription packages, institutional licensing, and cloud based data services. It supports the national digital education agenda and aligns with the United Nations Sustainable Development Goals related to quality education and innovation. Overall, EduScope AI represents a transformative advancement that bridges the gap between artificial intelligence and science education, empowering future generations to explore biology through an intelligent and interactive learning experience.