Browsing by Author "Shahnewaz Siddique"

Now showing 1 - 4 of 4
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    Open Access
    Assistive App for Visually Impaired People
    (North South University, 2023) Arham Chowdhury; Tasnuva Nawar; Saifuzzaman; Sumiya Sultana; Shahnewaz Siddique; 1931861642; 1931816642; 1931406042; 1931277642
    Monetary transactions are an indispensable part of our day to day activities. In case of a large amount of cash transaction, human error is a matter of concern. Thus the need for an efficient automated system for currency recognition has become significant these days. The challenge of currency recognition and object detection remains a significant obstacle for individuals with visual impairments. This issue is particularly pronounced in developing nations, where robust currency recognition systems are scarce. Recent research efforts have sought to address this issue, focusing on the complexities posed by the gradual degradation of currency notes over time. Recognizing currency notes has become increasingly complex due to wear and tear. Notably, the development of currency recognition systems adjust to the needs of visually impaired individuals in Asian countries has been relatively limited. To address this challenge, research has been conducted, leading to the forthcoming implementation of a practical application featuring two core components: an Image Classification Module and a Text-toSpeech Module. The primary hurdle in both modules is to enhance accuracy by using deep learning techniques. This initiative represents a crucial step in improving accessibility for visually impaired individuals, especially in regions with limited resources. The trained deep learning model achieved a remarkable 91% accuracy, indicating the convergence of the model during the validation process. This outcome signifies a significant advancement in providing accurate and reliable currency recognition and object detection for visually impaired users
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    FitTrack: Fitness and Health Tracking System for the People of Dhaka City
    (North South University, 2023) Asif Ahmed; Md. Fazayel Murshid; Tasmim Hassan; Shahnewaz Siddique; 1712426042; 1722152042; 1822157642
    The Fittrack app is a mobile application developed to address the health and fitness needs of the people living in Dhaka City. With this initiative's help, users can track their physical activity, keep tabs on key health indicators, and access customized workout programs. The Fittrack app offers a user-friendly design and a variety of features catered to Dhaka city people's separate lives and needs by utilizing the power of mobile technology. The Fittrack app's design, development, and evaluation, along with some of its main features and technical details, are covered in this paper. The app's sophisticated algorithms for goal-setting, data analysis, and activity tracking enable users to make educated decisions about their fitness and health. Through a user-centric approach and integration with popular fitness wearables, the Fittrack app aims to promote a healthier lifestyle and contribute to the overall well-being of the people of Dhaka city. The Fittrack app seeks to encourage a healthy lifestyle and improve the general well-being of the people of Dhaka city through a user-centric approach and integration with well-known fitness wearables.
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    IoT Enabled Smart Farm
    (North South University, 2023) Musfiqur Rahman; Syed Shadman Ahmed; Shahnewaz Siddique; 1931546642; 1811352642
    Now a days, livestock farming has become a concerning issues in our country because of population growth and demand. We need more urgency in this sector to produce more in numbers that too by maintaining a safe environment for the livestock animals. The intention of our work is to establish a platform on livestock monitoring and management. The IoT framework provides IoT solution in a wide range of domains and applications in livestock farming. The technology stack is based on the Internet of Things with relevant sensors available to determine the monitoring system to be placed on the animal. To bring better output from this sector, we intend to build an IOT device that will take care the livestock animal health and their welfare, the situation in which they live and their reproduction. It will provide a safe and healthy environment through continuous surveillance.
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    PHOENIX: Drone Aided Disaster Management System
    (North South University, 2019) Arnob Barua; Hasan-Ul Islam; Shihab Bin Sarwar Chowdhury; Shahnewaz Siddique; 1530418343; 1511167043; 1511974643
    There are traditional ways that we have used to control and deal with the after math of fire hazards and natural calamities like earthquakes and cyclone. But as the technology has developed in recent years we have come up with a more innovative method to tackle this problem which we believe can save more lives. Our solution is PHOENIX. It is a pair of drones that are designed for surveillance and survival package delivery in the case of a disaster management. The reason why we chose to work with drones is because one of the major aspect of a drone is that it can reach where a person cannot. In many disastrous situations that is a major factor in saving lives. Traditional methods has to work from a distance and is inaccessible in tight places. Our drones can provide an overview of the whole effected area and show exactly where to send rescuers and resources to save maximum lives and goods. In case of disasters these drones can be used for surveillance and also for deployment of fire extinguishing agents and emergence survival kits. These small changes can cause a major difference in a life and death situation. We believe that in the right hand our project can save a lot of lives in disaster situations.