International Journal of Engineering Applied Science and Management

ISSN (Online): 2582-6948


Notice Board :

Call for Paper
Vol. 6 Issue 3

Submission Start Date:
March 01, 2025

Acceptence Notification Start:
March 10, 2025

Submission End:
March 25, 2025

Final MenuScript Due:
March 31, 2025

Publication Date:
March 31, 2025
                         Notice Board: Call for PaperVol. 6 Issue 3      Submission Start Date: March 01, 2025      Acceptence Notification Start: March 10, 2025      Submission End: March 25, 2025      Final MenuScript Due: March 31, 2025      Publication Date: March 31, 2025




Volume VI Issue II

Paper Title
ZENWELL - THE MENTAL HEALTH SUPPORT APP
Author Name
Muskan Patel, Priyanka Lokhande, Prateeksha Yadav, Parv Vishwakarma, Ritik Bundela
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 2
Abstract
ZENWELL is a mobile application designed to improve the mental well-being of individuals, particularly those within Generation Z, by offering personalized mood-based support. By allowing users to select their emotional state (happy, sad, or angry), the app recommends targeted activities such as meditation, music, yoga, mood-boosting games, and emotional support via chat. The app's unique approach focuses on addressing mental health concerns such as anxiety and depression, prevalent among young people today. ZENWELL’s future features will include consultations with professional mental health experts, puzzles for cognitive stimulation, and the inclusion of local wellness resources, presenting a holistic approach to mental health. This paper discusses the app's development, features, effectiveness, and potential for scaling as a digital mental health solution.
PaperID
2025/IJEASM/2/2025/3091

Paper Title
AI-Integrated Business Analytics: Revolutionizing Enterprise System Efficiency and Decision-Making
Author Name
Davinder Pal Singh, Trilok Singh
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 2
Abstract
This research paper examines the transformative role of AI-integrated business analytics in enhancing enterprise system efficiency and decision-making within Canada's IT sector. The rapid evolution of Artificial Intelligence (AI) technologies has facilitated the development of advanced analytics tools that empower businesses to harness the full potential of their data. By leveraging AI techniques such as machine learning, predictive analytics, and natural language processing, organizations in the IT sector can optimize operations, improve decision-making accuracy, and achieve higher levels of productivity. This study explores key applications of AI-driven business analytics, including data visualization, automated insights, and forecasting, which contribute to smarter, data-informed strategies. Furthermore, the paper investigates challenges such as integration complexities with existing systems, data security issues, and the need for specialized talent. Finally, the research underscore
PaperID
2025/IJEASM/2/2025/3092

Paper Title
Object Detection in Rescue Operations Using OpenCV for Drone
Author Name
Anushka Sahu, Angad Jain, Gauransh Sahu, Ayush Agrawal
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 2
Abstract
This research explores how object detection technology, combined with drone-based imaging, can revolutionize rescue operations. Using OpenCV and advanced deep learning models like YOLOv5, the system effectively detects victims and hazards in emergency situations. Our findings show an impressive 90-95% accuracy in open areas, though challenges like occlusions and complex backgrounds lower accuracy to 75-85%. Integrating thermal imaging significantly enhanced detection in low-light conditions, boosting performance by 15%. The system processes video at 30 frames per second, ensuring real-time responsiveness, while drone geolocation helps map detected objects for rescue teams. These results highlight the game-changing potential of Al-powered vision systems in disaster response, making search-and-rescue efforts faster, smarter, and more effective.
PaperID
2025/IJEASM/2/2025/3093

Paper Title
Scarcity & Decision Making in UAE : The Impact of Scarcity on Decision Making Among Immigrants from Kerala in UAE
Author Name
Rashmeet Kaur Randhawa, Trilok Singh
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 2
Abstract
Newcomers to cultures have used various technologies to resist and assist in the cultural adaptation and acculturation process for as long as immigration has taken place (Stephen M. Croucher, 2011). People migrate to different places from all around the, and especially from developing countries like India. They want better job opportunities and the UAE being a hub of multiple job prospects for a low-salary individual living in a developing country like India is exciting. The UAE being a socially open country with many industries requiring mass labor and interns for organizational firms, like oil industry, tourism, etc. is quite tempting. This research is based on how immigrant's - mainly focused on Kerala immigrants in UAE - decision-making is affected by scarcity of resources. This study explores how the scarcity of mainly time and money, including other things affects their financial management patterns and time allocation. Data was collected through surveys, interviews and questionn
PaperID
2025/IJEASM/2/2025/3094