ANGTHAScope
Project Description
This research reflects on the embodiment of intelligent lung diagnosis system utilizing the combination of three emergent technologies like Artificial Intelligence (AI) and Machine Learning (
The world is facing a significant challenge as an influence of global pandemic, the death and transmission rate of COVID-19 has touched its highest peak because of causing the worst instances of pneumonia. Thus, this research reflects on the embodime...
Our Overview
Comparative Research
This section will describe the overall Proposed System Architecture (PSA), methodology, and working principles. The low-cost proposed system mainly consists of three interconnected methods. Firstly, the proposed methodology provides the working principles of a microcontroller, namely, Arduino Uno. Secondly, the working principles of the multiple sensors are illustrated attached with the PSA for real-time data monitoring of patient’s heartbeat, body temperature, and oxygen saturation level. Finally, the proposed system provides a technique of capturing retrieved multiple sensor’s values from the human body and storing them on the IoT database server. In Fig. 1, the overview of PSA for ANGTHAScope is depicted.
Our Partner
Our Honorable Partners
Our Sponsor
Our Honorable Sponsor
Team Member of This Project
Our Potential Members
Shah Siddiqui
Founder and CEO
S M Asaduzzaman
Research Associate(Core Research Team)
Oishee Ghosh
Research Associate(Core Research Team)
Alif B. Ekram
Research Associate
Wahidur Rahman
Senior Researcher
Dr Shamsul Masum
Advisor Of System & e-learning
Prof. Adrian Hopgood
Chief of Advisory Board (Global)
Dr Alice Good
Advisor of Applied Science Research
Dr Alexander Gegov
Advisor of Intelligence Science
Sustainable Development in Bangladesh
Sustainable Development in Bangladesh
This research attempts to develop a nationwide packaging system that is environmentally beneficial. A well-established and deeply rooted systematic approach to successful system designs and proper ML algorithms to find the optimal biodegradable solution for lowering harmful carbon discharge on the environment can be established. The study designs packaging that meets marketing criteria for performance and cost. Furthermore, the research shows a green packaging technology that develops packaging material which is sourced, manufactured, transported, and recyclable. Moreover, paper recycling decreases carbon footprints and recycling a single magazine may save 41,000 trees. In each stage of papermaking, wastes are generated. To properly get rid of such wastes, the field of tax benefits for recycling and trash reduction industries might be provided incentives to motivate recycling and better disposal techniques. Bioethanol production from various waste papers have found that the manufacture of bioethanol from waste paper, including newspapers and carton, is more economically viable than pump petrol. Therefore, this maximizes the use of renewable and recycled source materials. Furthermore, the recycled packaging materials are manufactured using clean production technologies and best practices and physically designed to optimize materials and energy. Thus, it is effectively recovered for re-use as a resource after the product has been consumed.
