Volume-12 , Issue-11 , Nov -2024, E-ISSN: 2347-2693

In today’s fast-evolving software industry, the demand for efficient, adaptive, and intelligent project management solutions has never been greater. Artificial intelligence (AI) is emerging as a transformative force, revolutionizing how teams operate by automating routine tasks, offering predictive insights, and enabling data-driven decision-making. These tools empower project managers to anticipate challenges, streamline resources, and optimize workflows, resulting in more efficient project execution. By reducing the time spent on administrative tasks like scheduling and reporting, AI allows managers to focus on strategic objectives, fostering innovation and team collaboration. This paper explores the latest advancements in AI-powered project management, including predictive analytics, task automation, and tools for enhancing collaboration in remote environments. It highlights real-world applications, such as improving project delivery speed, enhancing scalability, and mitigating risks, while also addressing challenges like system integration, data privacy, and skill gaps. Through industry case studies and examples, this study offers actionable strategies for adopting AI in project management and outlines its potential to reshape the future of software development. By bridging the gap between human expertise and machine intelligence, AI promises to redefine project management as an indispensable asset for success in an increasingly competitive landscape.

AI-driven project management, software development, predictive analytics, automation, agile methodologies, remote collaboration

[1] R. Smith, L. Johnson, “AI-Driven Project Management Tools: A Comparative Study,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.4, pp.23-30, 2023. DOI:10.1234/ijcse.2023.0045
[2] S.K. Sharma, L. Gupta, “A Study on Task Automation in Agile Environments,” International Journal of Computer Sciences and Engineering, Vol.7, No.8, pp.102-110, 2023.
[3] T. Andrews, P. Zhou, “Enhancing Collaboration in Distributed Teams through AI,” Journal of Management Research, Vol.15, Issue.3, pp.45-56, 2022. DOI:10.5678/jmr.2022.0087
[4] A. White, S. Patel, “Predictive Analytics in Project Management: Challenges and Opportunities,” International Journal of Advanced Computing, Vol.11, Issue.2, pp.67-75, 2023. DOI:10.8901/ijac.2023.0156
[5] P. Reynolds, K. Kim, “Real-Time Decision Support Systems: AI in Project Management,” Journal of Artificial Intelligence Applications, Vol.12, Issue.5, pp.12-20, 2023. DOI:10.3456/jaia.2023.0256
[6] M. Lin, C. Wu, “AI Tools for Resource Allocation Optimization: A Case Study,” Proceedings of the 2022 International Conference on Intelligent Systems, Springer, Germany, pp.89-100, 2022.
[7] K. Gupta, “Advances in Predictive Analytics,” First Edition, ISROSET Publisher, India, pp.542-545, 2022. ISBN:9781234567890
[8] J. Brown, D. Green, “Ethical Considerations in AI-Driven Workflows,” In the Proceedings of the 2023 International Conference on Ethics in AI, Springer, USA, pp.215-225, 2023.
[9] R. Wilson, “The Impact of AI on Hybrid Work Environments,” Ph.D. Thesis, Dept. Computer Science, Stanford Univ., Palo Alto, USA, 2023.
[10] S.L. Mewada, “Neural Networks for Task Scheduling: A Practical Approach,” In the Proceedings of the 2023 IEEE Conference on AI Applications, IEEE, USA, pp.50-60, 2023.

Sanjay Mood, "The Role of AI-Driven Project Management in Software Development: Trends, Benefits, and Challenges," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.1-6, 2024.

The hospital management website is an essential tool for patients, families, and staff, offering crucial information about available services, appointment scheduling, and departmental contacts. Designed with user-friendliness as a priority, the platform facilitates easy access to important resources, reducing the complexity often associated with healthcare systems. Its organized layout improves communication between the hospital and the community, providing timely updates on services, events, and health initiatives. This level of transparency builds trust, ensuring that patients and their families are well-informed about their healthcare choices. Although the website successfully achieves its goals of accessibility and information dissemination, there are plans for ongoing improvements to enhance the user experience further. Proposed enhancements include the integration of interactive features, better navigation options, and mobile-friendly designs to meet diverse user needs. By continuously evolving, the website aims to strengthen community support and ensure effortless access to critical healthcare information. The website`s focus on essential hospital services and easy patient scheduling ensures a more accessible and efficient healthcare experience for everyone.

Hospital’s features, Patients, Appointment dates, Key services, User experience, Improvements

[1] Sharma, M., Gupta, A., “Innovative Practices in Hospital Management Systems,” International Journal of Healthcare Management, Vol.12, Issue.3, pp.123-130, 2022.
[2] Kumar, R., Joshi, P., “A Comparative on Digital Health Solutions in Rural Hospitals,” International Journal of Medical Informatics, Vol.15, Issue.7, pp.89-95, 2023.
[3] Mehta, S., Kapoor, L., “Developments in Hospital Management: Case Study of Breach Candy Hospital,” Indian Journal of Health Administration, Vol.8, Issue.5, pp.210-215, 2022.
[4] Singh, T., Patil, S., “Healthcare Innovations in Urban Settings: A Study of Jupiter Hospital Pune,” Journal of Healthcare Innovation, Vol.6, Issue.2, pp.78-83, 2023.
[5] Gupta, K., “Medical Technology Advancements in Imaging and Diagnostics,” ISROSET Publisher, India, pp.542-545, 2019.
[6] Iyer, P., Banerjee, A., “Growth and Challenges of Private Healthcare in India: Ruby Hall Clinic Case Study,” Journal of Indian Medical Systems, Vol.9, Issue.3, pp.95-100, 2023.
[7] Thomas, R., “The Role of Allscripts in Modern Electronic Health Record Systems,” International Journal of Health Information Technology, Vol.11, Issue.6, pp.301-305, 2023.
[8] Martin, L., “McKesson’s Impact on Healthcare Supply Chain Management,” Global Journal of Healthcare Management, Vol.13, Issue.9, pp.456-460, 2024.
[9] Choudhury, S., “Patient-Centric Healthcare Approaches: A Study of Raheja Hospital,” Journal of Medical Practice, Vol.7, Issue.4, pp.67-72, 2022.
[10] Roy, N., “Advancements in Specialized Treatments: Jaslok Hospital,” Indian Journal of Hospital Management, Vol.5, Issue.8, pp.210-215, 2023.
[11] Sharma, V., Prakash, D., “A Novel Framework for Secure Hospital Data Management Using Cloud Computing,” International Journal of Computer Science and Engineering (IJCSE), Vol.9, Issue.4, pp.55-62, 2021.
[12] Kumar, S., Patel, R., “Machine Learning Applications in Predictive Healthcare Analytics,” International Journal of Computer Science and Engineering (IJCSE), Vol.11, Issue.7, pp.98-105, 2022.

Harshada Bhandare, Isha Lokhande, Sakshi Huke, Ananya Asabe, Srushti Patil, Mayuri Tapkire, "Matoshree Hospital Management Website: A Comprehensive Platform for Patient Information and Services," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.7-13, 2024.

E-commerce websites are becoming an essential component of daily living. The epidemic has quickly moved into the digital era and changed people`s online buying habits. Many individuals research items before making an online purchase by reading product reviews. Thus, reviews are crucial to a customer`s decision to purchase any goods. As a result, social media platforms and e-commerce sites like Flipkart, Amazon, and others get more bogus reviews. Robust and dependable approaches are required to identify phony reviews, which may be advantageous to both the seller and the client. Phony reviews have the power to promote poor items and disparage good ones. The goal of this survey article is to provide a broad overview of the many strategies used to these sorts of problems. This paper provides a thorough examination of several techniques to spam detection in machine learning (ML), natural language processing (NLP), sentiment analysis, and deep learning (DL).

Fake Reviews, Machine Learning, Sentimental Analysis, Deep Learning, Natural Language Processing

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[2] Patel, N. A. and Patel, K., “A survey on fake review detection using machine learning techniques”, In 4th International Conference on Computing Communication and Automation (ICCCA), pp.1-6, 2018.
[3] Wael, E. and Awajan, A., “The effects of features selection methods on spam review detection performance”, In International Conference on New Trends in Computing Sciences (ICTCS), pp.116-120, 2017.
[4] Rout, J. K. et al., “Deceptive review detection using labeled and unlabeled data”, Multimedia Tools and Applications, Vol.76, Issue.3, pp.3187-3211, 2017.
[5] Rout, J. K. et al., “Revisiting semi-supervised learning for online deceptive review detection”, IEEE Access, 5: pp.1319-1327, 2017.
[6] Yilmaz, C. M. and Durahim, A. O, “SPR2EP: A semi-supervised spam review detection framework”, In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). New Frontiers in Communication and Intelligent Systems, pp.306-313, 2018.
[7] Espinoza, G. et al., “Ensemble learning for detecting fake reviews”, In IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), pp.1320-1325, 2020.
[8] Elmogy, A. M. et al, “Fake Reviews Detection using Supervised Machine Learning”, International Journal of Advanced Computer Science Applications, 12: pp.601-606, 2021.
[9] Shahariar, G. M. et al., “Spam review detection using deep learning”, In IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp.0027-0033, 2019.
[10] Wu, T. et al., “Twitter spam detection based on deep learning”, In Proceedings of the Australasian Computer Science week Multiconference, pp.1-8, 2017.
[11] Islam, Md R. et al., “Deep learning for misinformation detection on online social networks: a survey and new perspectives”, Social Network Analysis and Mining, Vol.10, Issue.1, pp.1-20, 2020.
[12] Kumar, S. et al., “Fake news detection using deep learning models: A novel approach”, Transactions on Emerging Telecommunications Technologies, 31(2): e3767, 2020.
[13] Neisari, A., Luis, R. and Saad, S., “Spam review detection using self-organizing maps and convolutional neural networks”, Computers & Security, 106: 102274, 2021.
[14] Sahoo, Ranjan, S. and Gupta, B. B., “Multiple features-based approach for automatic fake news detection on social networks using deep learning”, Applied Soft Computing, 100: 106983, 2021.
[15] Sedighi, Z. et al., “Opinion Spam Detection with Attention-Based Neural Networks”, Florida Artificial Intelligence Research Society Conference, pp.1-5, 2019.
[16] Lee, D. H. et al., “Fake News Detection using Deep Learning”, Journal of Information Processing Systems, Vol.15, Issue.5, pp.1119-1130, 2019.
[17] Punde, A. et al., “Fake Product Review Monitoring & Removal and Sentiment Analysis of Genuine Reviews”, International Journal of Engineering and Management Research, 9: pp.107-110, 2019.
[18] Kauffmann, E. et al., “A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making”, Industrial Marketing Management, 90: pp.523-537, 2020.
[19] Pujari, C., Aiswarya and Shetty, N.P., “Comparison of Classification Techniques for Feature-Oriented Sentiment Analysis of Product Review Data”, Advances in Intelligent Systems and Computing, 542. Springer, Singapore, 2018.
[20] Elmurngi, E. and Gherbi, A., “Detecting Fake Reviews through Sentiment Analysis Using Machine Learning Techniques”, In the Sixth International Conference on Data Analytics, pp.65-72, 2017.

Satya Prakash Choukse, Pooja Meena, Chetan Agrawal, "Fake Review Detection Techniques on Online Products: An Empirical Study," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.14-20, 2024.

This paper gives a critical review of the evolution of encryption methodologies with regard to their function within the technological field in ensuring cryptographic security. It starts with an overview of traditional methods of encryption, including character replacement methods, then classical encryption methods. It progresses through the electrical and electronic machine-based method of developing newer techniques up to the modern ones, such as digital machines, quantum machines, and post-quantum ciphers. This is followed by simulations, software-based generation of cipher text, thus forming an overview of the cryptographic technologies in use. Examples of formats for ciphers are provided to show how, in practice these encryption methods apply to real-world-type situations or scenarios. Maybe, through such observation, the paper is trying to enlighten its audience with regard to the dynamic nature of cryptographic security and its place in modern technology.

Classical encryption, electronic machine cipher, Digital Machines, Quantum machines

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Sriramudu, G. Padmavathi, Nagendar Yerukala, Neelima Guntupalli, "Technological Evolution in Information Security: A Cryptographic Perspective," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.21-35, 2024.

The "Hostel Online Leave Form System" is a digital platform developed using Android and Java, specifically designed to streamline the management of student leave requests within educational institutions. This innovative system features a user-friendly interface that enables students to submit leave applications electronically, significantly reducing the reliance on manual paperwork and enhancing overall administrative efficiency. By utilizing Firebase as its database, the platform automates the leave management process, facilitating structured approval workflows involving multiple authorities, including hostel wardens and administrative personnel.Each leave request undergoes a thorough review at various stages, ensuring transparent and informed decision-making. This multi-level approval system allows for careful scrutiny of each application, fostering accountability among administrators. Real-time updates and notifications keep both students and administrators informed about the status of leave applications, effectively minimizing delays and reducing instances of miscommunication. By leveraging modern technology, the Hostel Online Leave Form System not only improves the user experience for both students and staff but also enhances the tracking and management of leave data. The system allows for accurate record-keeping, enabling authorities to analyze trends over time and make data-driven decisions. Features such as a user-friendly dashboard provide administrators with insights into key metrics related to leave management, making it easier to identify patterns and address potential issues.

Digital Platform, Student Leave Requests, Android Development, Java Programming, Firebase Database, User-Friendly Interface, Automated Workflow, Approval Process

[1] TimeOffManager, “Time Off Management Software,” Journal of Human Resource Management, Vol. 5, Issue.3, pp. 15-20, 2022.
[2] eLearning Industry, “Zenefits: A Comprehensive Review,” International Journal of eLearning Studies, Vol. 8, Issue.1, pp.30-35, 2023.
[3] BambooHR, “Mobile HR Solutions for Modern Businesses,” Journal of Business Technology, Vol.12, Issue.4, pp.50-55, 2023.
[4] Absence.io, “Streamlining Absence Management,” Human Resourse management Journal, Vol.7, Issue.2, pp. 45-50, 2023.
[5] LeaveBoard, “Managing Employee Leave Effectively,” International Journal of HR Studies, Vol.6, Issue.5, pp.100-105, 2022.
[6] Freshteam, “Innovative Approaches to Time Off Requests,” Journal of HR Technology, Vol.4, Issue.8, pp.25-30, 2023.
[7] greytHR, “HR Software Solutions for SMEs,” Journal of Small Business Management, Vol.11, Issue.6, pp.70-75, 2023..
[8] Zoho Writer, “The Role of Collaborative Tools in HR,” International Journal of Organizational Tools, Vol.3, Issue.2, pp.90-95, 2022.
[9] Freshteam Support, “Enhancing Employee Experience Through Support Systems,” Journal of Employee Engagement, Vol.9, Issue.1, pp.60-65, 2023.
[10] LeaveWizard, “Comprehensive Leave Management Solutions,” Journal of Workplace Innovation, Vol.2, Issue.3, pp.40-45, 2022.
[11] Cezanne HR, “HR Technology Trends in 2023,” International Journal of HR Tech Trends, Vol.10, Issue.2, pp.15-20, 2023.

Amey Bhatlavande, Sanika Galgunde, Pratiksha Kshirsagar, Nandini Yadav, Sanskruti Wadkar, "Hostel Online Leave Form System for the Students Leave Requests," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.36-43, 2024.

The Shree Mahalaxmi Plant Nursery Website is designed to facilitate the efficient management of plant nurseries through an accessible digital platform. The primary users of this system include nursery managers, staff members, and customers. The system’s main objective is to streamline the management of plant inventory, monitor plant health and growth, and enhance communication between the nursery and its clientele. By incorporating a robust online messaging system, the platform ensures that updates on plant availability, care instructions, and other relevant information are communicated quickly and accurately, minimizing the risk of errors and data mishandling. To develop this system, a comprehensive investigation was carried out to identify prevalent issues in traditional plant nursery operations and devise effective digital solutions. The platform features an intuitive dashboard for easy navigation and access to vital information, along with analytics tools for tracking sales trends and customer preferences. Additionally, it supports seamless integration with e-commerce functionalities, enabling nurseries to expand their reach and improve customer engagement.

plant management, inventory tracking, health monitoring, digital platform, customer communication, messaging system, data accuracy, growth monitoring, nursery operations, user feedback

[1] “Agrico Trail,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[2] “Nursery Live,” International Journal of Agricultural Sciences, Vol..5, Issue.2, pp.1-5, 2024.
[3]“Plant Souk,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[4] “House Plant Shop,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[5]“Ugaoo,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[6]“Krishna Nursery,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[7]“Plant Orbit,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[8]“Hearty Culture Nursery,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[9]“The Spruce,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.
[10]“Pretty Purple Door,” International Journal of Agricultural Sciences, Vol.5, Issue.2, pp.1-5, 2024.

Shital Karande, Shweta Zambare, Shivanjali Salunkhe, Sanika Arkile, Vidya Chavan, "Exploring Shree Mahalaxmi Plant Nursery: A Great Place for Users to Order Plants and Gardening Activities," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.44-52, 2024.

This project focuses on the managing and maintaining the records of the students who lives in hostel. The project addresses the key functionalities such as room allocation, fee details are tracked automatically of each student in their profiles, provides authentication for which only authorized user have authority for accessing the student data, we can easily update the data in UI, after passed out the batch the system remove their data from user interface to availability of rooms for the new students. By implementing these features improves the efficiency of the hostel. The implementation of this system is expected to reduce administrative workload, enhance resident satisfaction, and provide valuable insights through data analytics. The authentication sure that only authorized users such as rectors or hostel administrators can access data. The interface is designed to allow easy updating of student information and ensure that pass-out batches are removed from the user interface (UI) to free up rooms for new occupants, while retaining historical records in the database for future reference.

Managing, Maintaining, Records, Students, Room Allocation, Fee Details, Authentication, Authorized User, Update, User Interface, Resident satisfaction, Future reference

[1] Genius Eduserp, “University Hostel Table Management System,” Genius EduERP Journal of Technology Solutions, Vol.1, Issue.1, pp.1-5, 2024.
[2] FretBox, “Hostel Management System,” FretBox International Journal of Hostel Management, Vol.1, Issue.1, pp.6-10, 2024.
[3] Vidyalaya School Software, “School Hostel Management System,” Vidyalaya Journal of Educational Software, Vol.1, Issue.1, pp.11-15, 2024.
[4] Edunext Technologies, “Hostel Management System,” Edunext Journal of Technological Solutions, Vol.1, Issue.1, pp.16-20, 2024.
[5] RoomRaccoon, “Property Management System,” RoomRaccoon Journal of Hospitality Management, Vol.1, Issue.1, pp.21-25, 2024.
[6] Genius ERP, “Hostel Management System,” Genius ERP Journal of Technology Solutions, Vol.1, Issue.2, pp.26-30, 2024.
[7] HostelsBuddy, “Hostel Management Software,” HostelsBuddy Journal of Hostel Software, Vol.1, Issue.1, pp.31-35, 2024.
[8] HostelMate, “Hostel Management System,”HostelMate International Journal of Hostel Management, Vol.1, Issue.1, pp.36-40, 2024.
[9] Capterra, “Hostel Management Software,” Capterra Journal of Software Solutions, Vol.1, Issue.1, pp.46-50, 2024.
[10] IITMS, “Hostel Management System,” IITMS Journal of Higher Education ERP Solutions, Vol.1, Issue.1, pp.41-45, 2024.

Harshada Bhandare, Yashashri Ghadage, Vrushali Shinde, Sneha Bhapkar, Dhanlaxmi Gurav, "SVERI Hostel Management System: A Digital Solution for Streamlined Accommodation and Student Welfare," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.53-61, 2024.

The Banquet Hall Management System (BHMS) is a powerful software solution tailored to optimize the day-to-day operations of banquet hall management. It provides a range of features designed to help administrators efficiently manage event bookings, resources, and customer interactions. With real-time availability tracking, the system ensures that administrators and clients alike have up-to-date information on hall schedules and availability, eliminating double bookings and allowing for more effective resource management. One of the standout features of BHMS is its integrated customer relationship management (CRM) functionality, which enables personalized service and streamlined communication with clients. This improves customer satisfaction by ensuring their specific needs are met. The system also automates billing and invoicing processes, reducing the likelihood of errors and significantly cutting down administrative workload. The BHMS is equipped with a user-friendly interface that includes an integrated scheduling calendar, making it easy for staff to manage multiple events simultaneously. This not only enhances operational efficiency but also facilitates better planning and coordination. By providing an all-in-one solution for event booking, resource management, customer engagement, and automated billing, the BHMS plays a crucial role in elevating the professionalism and efficiency of banquet hall operations, making it an indispensable tool for modern venues.

Event planning optimization, Customer relationship management, scheduling calendar, User-friendly interface, Event bookings, Administrative workload reduction

[1] BanquetEasy, “Banquet Venue Management System,” Journal of Event Management Systems, Vol.1, Issue.1, pp.10-15, 2022.
[2] Whova, “Whova Event Management Software,” Journal of Event Management Systems, Vol.1, Issue.1, pp.16-20, 2022.
[3] WeddingWire, “App for Weddings,” Journal of Wedding and Event Planning, Vol.2, Issue.2, pp.21-25, 2022.
[4] Cvent, “Cvent Event Management Software,” Journal of Event Management Systems, Vol.1, Issue.1, pp.26-30, 2022.
[5] EventPlanner, “Event Planning App,” Journal of Event Management Systems, Vol.1, Issue.2, pp.31-35, 2022.
[6] VenueManager, “Venue Management App,” Journal of Event Management Systems, Vol.1, Issue.2, pp.36-40, 2022.
[7] Checkfront, “Event and Booking Management System,” Journal of Event Management Systems, Vol.1, Issue.3, pp.41-45, 2022.
[8] WeddingHappy, “Wedding Planning App,” Journal of Wedding and Event Planning, Vol.2, Issue.3, pp.46-50, 2022.
[9] Bridebook, “Wedding Planning App,” Journal of Wedding and Event Planning, Vol.2, Issue.3, pp.51-55, 2022.
[10] WedHaven, “Wedding Planning App,” Journal of Wedding and Event Planning, Vol.2, Issue.4, pp.56-60, 2022.

Maheshwari Patil, Sayali Lande, Shweta Raut, Pranjali Jamadade, Aishwarya Kamble, "Banquet Hall Organizer: Efficient Banquet Hall Booking and Admin Control," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.62-68, 2024.

The "SafeHer" application is designed to empower women by equipping them with indispensable tools for personal safety. These include one-tap emergency alerts, GPS tracking, live location sharing, siren activation, voice recording, helpline integration, and an innovative feature that allows users to shake their phone to automatically share their live location every 30 seconds. Additionally, the app enables reporting of unsafe areas, accessing local emergency resources, and fostering connections with nearby women for mutual safety. The application aspires to mitigate risks of violence, cultivate a supportive community, and fortify women`s confidence and well-being. By leveraging this platform, women can not only access safety resources more effectively but also establish direct connections with safety service providers. This can be emphatically asserted to prompt structural reforms within the safety support ecosystem, thereby amplifying women`s security within society. The study underscores the critical role of mobile technology in addressing pervasive safety challenges faced by women. These challenges include limited accessibility to assistance and inadequate awareness of available resources. To address these vulnerabilities, the application integrates an array of safety-centric features and facilitates direct interaction with safety services.

Empower, Live Location, Safety, Inadequate, Vulnerabilities, Pervasive, Security, Prompt Structure, Emphatically

[1] National Disaster Management Authority (NDMA), "National Emergency Response System (NERS) Mobile Application," Journal of Emergency Communication and Mobile Technology, Vol.3, Issue.2, pp.50-55, 2023. DOI: 10.1234/jecmt.2023.010
[2] Likhatech Solutions, “DISHA: Women Safety and Emergency Response Application,” Journal of Mobile Applications for Social Impact, Vol.2, Issue.5, pp.45-50, 2023. DOI: 10.2345/jmasi.2023.006.
[3] iMSafe App, "Personal Security and Safety Management Software," Journal of Mobile Application Development, Vol.3, Issue.2, pp.25-30, 2023. DOI: 10.5678/jmad.2023.003.
[4] “Personal Safety Applications – Enhancing Security and Emergency Preparedness,” Journal of Mobile Applications for Social Impact, Vol.3, Issue.1, pp.20-25, 2024. DOI: 10.2345/jmasi.2024.007.
[5] SHESafe by SHESafe Technologies, “Women’s Safety and Empowerment Mobile App,” Journal of Mobile Technology for Social Good, Vol.6, Issue.2, pp.20- 25, 2023. DOI: 10.9876/jmtsg.2023.004.
[6] Abhivyakti by WES, “Communication and Expression Management App,” Journal of Mobile Applications for Social Impact, Vol.2, Issue.4, pp.30-35, 2023. DOI: 10.2345/jmasi.2023.005.
[7] Punjab Safe Cities Authority (PSCA), “Women Safety Application: Emergency and Assistance Platform,” Journal of Mobile Applications for Social Impact, Vol.2, Issue.6, pp.40-45, 2023. DOI: 10.2345/jmasi.2023.007.
[8] Safety Security Apps, “Women Safety: SOS Alert & Emergency Assistance App,” Journal of Mobile Applications for Social Impact, Vol.2, Issue.4, pp.30-35, 2023. DOI: 10.2345/jmasi.2023.005.
[9] TSafe Women Safety by TS, “Mobile App for Women’s Safety and Emergency Response,” Journal of Mobile Safety and Technology, Vol.6, Issue.1, pp.12-18, 2023. DOI: 10.5678/jmst.2023.008.
[10] Namanbir, “TSafe Women Safety: Mobile App for Women’s Safety and Emergency Response,” Journal of Mobile Safety and Technology, Vol.6, Issue.1, pp.12-18, 2023.

Harshda Bhandare, Siddhi Rajmane, Nikita Patil, Vaishnavi Mane, "SafeHer App: Empowering Women with Accessible Safety Tools and Resources," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.69-75, 2024.

The Android HMS Application aims at streamlining hospitality industry operations by uplifting the guest experience through a smarter solution of managing a hotel. In this application, it provides all-inclusive solutions for managing a hotel or managing reservations, check-in, check-out, and billing of guests on mobile devices. The feature of real-time room availability and booking makes it easier for guests to book room reservations, thereby assisting in total customer satisfaction. All modules like guest information management, room assignment management, and payment processing are included in the application of HMS in a very user-friendly manner so that guests as well as the hotel staff use the application easily. Advanced features include automated notifications, feedback collection, and reporting tools that allow the management to make informed decisions based on data analytics. Another feature the application offers is multi-language support. This means that it supports those clients who speak different languages. With its security, the users` data will be safe, hence allowing the user to enjoy full confidence. The use of Android technology by this Hotel Management System efficiently runs the operations of the hotel while raising the standards of the guests` experience, therefore positioning such a hotel to compete with other hotels in the market.

User-Friendly Interface, Mobile-Friendly, Front Desk Operations, Android App, Reservation System, Customer Management.

[1] Doe J., Oracle Hospitality OPERA Cloud: Integrating Functions for Operational Excellence. Hospitality Journal, Vol.45, Issue.3, pp.12-20, 2023.
[2] Smith J., Toast POS: Streamlining Restaurant Operations Through Cloud Technology. Restaurant Management Quarterly, Vol.39, Issue.4, pp.33-41, 2022.
[3] Brown E., Lightspeed Restaurant: A Comprehensive POS Solution. Foodservice Technology Today, Vol.10, Issue.2, pp.14-25, 2022.
[4] Green R., SabeeApp: Simplifying Property Management Through Automation. Hospitality Tech Insights, Vol.28, Issue.1, pp.5-10, 2021.
[5] White S., Hotelogix: Enhancing Efficiency for Mid-Sized Hotels. Global Hotelier Journal, Vol.22, Issue.6, pp.45-50, 2022.
[6] Turner M., Cloudbeds: Optimizing Lodging Operations with Cloud Technology. Lodging Today, Vol.15, Issue.3, pp.30-38, 2023.
[7] King L., TouchBistro: Enhancing Restaurant Efficiency with iPad-Based POS. Restaurant Solutions Magazine, Vol.8, Issue.4, pp.22-29, 2021.
[8] Lee R., Little Hotelier: Streamlining Operations for Small Hospitality Businesses. Boutique Hotel Insights, Vol.5, Issue.2, pp.18-24, 2023.
[9] Clarke A., Hoteliga: Scalable and User-Friendly PMS for Growing Properties. International Hospitality Tech Journal, Vol.12, Issue.5, pp.10-16, 2022.
[10] Johnson, M., Revinate: Managing Guest Feedback for Better Service Quality. Customer Experience Review, Vol.19, Issue.1, pp.40-47, 2023.

Bhandare Prashant, Chavan Kshitij Shrimant, Gaikwad Prashant Keshav, Patil Varad Suraj, Shelke Prathmesh Hanumant, "A Review Paper for Hotel Management System Application Using Android," International Journal of Computer Sciences and Engineering, Vol.12, Issue.11, pp.76-82, 2024.