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Bi-Monthly Journal (2 monthly)

📊 ISSN NO: 3108-1312

Subject: Multidisciplinary

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✍️ Editorial Message

Welcome to the International Journal of Convergent Technologies and Future Systems (IJCTFS). Our journal aims to provide a platform for innovative research in AI, Machine Learning, Cloud, Cybersecurity, IoT, and other emerging technologies. We encourage interdisciplinary collaboration and the sharing of ideas that can shape the future of technology. IJCTFS is committed to publishing high-quality research that bridges theory with practical impact. We thank our contributors, reviewers, and readers for supporting this journey of innovation and knowledge dissemination.
With best regards,
Dr. D. M. Marathe
Founder & Editor-in-Chief
International Journal of Convergent Technologies and Future Systems (IJCTFS)
MauliKavyanshu Foundation

International Journal of Convergent Technologies and Future Systems (IJCTFS)

Vol. 2, Issue 1 • January - February 2026 • ISSN: ISSN NO: 3108-1312 • Frequency: Bi-Monthly
Published by: MauliKavyanshu Foundation

Papers (January - February 2026)


📚 Submitted Research Papers


1. Multi-Algorithm Comparative Framework for Crop Recommendation Using Classical Machine Learning Models

Author: Prem Jitendra Patil

Email: prempatil9566@gmail.com

Abstract: The study called "Multi-Algorithm Comparative Framework for Crop Recommendation Using Classical Machine Learning Models" looks at how different Artificial Intelligence tools can help farmers figure out the crops to plant based on the soil and the weather.We tested six models to see which one works best. These models are Logistic Regression, Naive Bayes, SVM, KNN, Decision Tree . Naive Bayes is most accurate model. Logistic Regression and Decision Trees are easy to understand. On the hand SVM and KNN are better at finding complicated patterns in the data.This study shows that farming technology needs to be precise, fast and simple.The study "Multi-Algorithm Comparative Framework for Crop Recommendation Using Classical Machine Learning Models" provides a foundation, for work. This future work will use hybrid models to make farming systems more reliable.

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Submitted on: 2026-02-24 12:05:37

2. Student Minds Under Pressure: Mental Health and Career Anxiety

Author: Rohini Prashant Ghogare

Email: rohinighogare14@gmail.com

Abstract: Today, students are facing a lot of pressure because of studies, exams, and future career decisions. Competition is increasing day by day and students feel stressed about getting good marks and jobs. Many students suffer from stress, anxiety, fear of failure, and depression due to academic pressure and career uncertainty. This study focuses on understanding the mental health problems of students and how career anxiety affects their life. The study explains the main reasons for stress such as heavy academic workload, parental pressure, peer competition, and lack of proper career guidance. Poor mental health affects students’ concentration, confidence, academic performance, and personal life. The study also highlights the importance of counselling, mental health awareness, and career guidance programs in educational institutions. It concludes that supporting students mentally is very important for their overall development and future success.

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Submitted on: 2026-02-24 12:08:08

3. GuardianBand: Design and Evaluation of a Smartwatch for Real‑time Personal Safety of Girls in India

Author: Abhay Bhiku Trivedi

Email: abhaytrivedi23436@gmail.com

Abstract: Sexual violence against girls in India continues to be a major social concern, and in many cases, victims are unable to call for help during an emergency. This research proposes GuardianBand, a smart wearable watch designed to improve personal safety by automatically detecting dangerous situations and sending emergency alerts in real time.To ensure reliability, GuardianBand supports multiple communication technologies including LTE-M/NB-IoT, Bluetooth, and Wi-Fi. This multi-path communication system helps transmit alerts even in areas with weak connectivity or limited public presence. The design also considers critical scenarios such as isolated locations, when the attacker grabs the other hand, or when the device is forcefully removed or damaged. This paper presents the system architecture, detection algorithms, communication strategy, prototype development plan, and testing methodology. Ethical and privacy safeguards are also discussed to protect user data.The main contribution of this research is the integration of sensor fusion technology with a multi-channel emergency alert system specifically designed for the Indian safety ecosystem, aiming to reduce response time and improve protection for girls in high-risk situations.

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Submitted on: 2026-02-24 12:12:38

4. AI+Governance:- AI Impact On Government

Author: Pratik.H.Varsale

Email: varsalepratik5@gmail.com

Abstract: Artificial Intelligence (AI) is becoming a key technology in public governance. It allows governments to improve efficiency, transparency, and decision-making processes. This paper looks at how AI fits into governance systems. It focuses on its use in public administration, policy analysis, service delivery, and regulatory enforcement. By using large-scale data analysis, machine learning, and automation, AI can enhance resource allocation, cut down administrative delays, and strengthen services for citizens. However, adopting AI in governance also brings important challenges. These include risks to data privacy, ethical issues, algorithmic bias, and concerns about accountability. This study reviews current AI governance frameworks and points out the need for strong regulatory measures and human oversight to ensure responsible and inclusive use. The paper stresses that AI should act as a decision-support tool instead of making decisions itself. This approach helps maintain democratic values and public trust. The findings indicate that combining technology, ethical standards, and policy regulation is vital for effective and sustainable AI- enabled governance.

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Submitted on: 2026-02-24 12:15:05

5. An OpenAI API Driven Conversational Interviewing System for Adaptive Recruitment

Author: Dr. Pankaj Valmik Baviskar, Parag Krishna Nikum, Raj Ashok Sonawane, Nikita Laxmikant Wagh, Tanvi R

Email: paragnikum@gmail.com

Abstract: The growing number of job applications and the need for fair and effective hiring practices have shown that traditional interview-based recruitment systems have big problems. Interviews conducted by hand take a long time, are difficult to standardise and are prone to personal bias, so they aren't suitable for large-scale screening. Recent improvements in large language models and conversational AI have enabled the automation of interview workflows while maintaining the quality of interaction and context understanding. This paper presents an OpenAI API-driven conversational interviewing system designed to conduct adaptive, role-specific interviews through real-time voice interaction. The proposed system integrates candidate resumes and job descriptions to construct interview context, to dynamically generate interview questions using LLMs and conduct voice-based interviews. Unlike static or rule-based interview chatbots, it adapts question difficulty and interview flow based on candidate performance, enabling fair and consistent assessment across varying skill levels. The architecture combines OpenAI’s language models for question generation and response evaluation with Retell AI for speech-based interaction, resulting in a modular and scalable interview pipeline. Experimental deployment in academic and simulated recruitment scenarios demonstrates improved screening efficiency, reduced interviewer bias and consistent evaluation outcomes. The results indicate that OpenAI API-based conversational systems can effectively bridge the gap between human-led interviews and automated recruitment workflows. This work contributes to the growing field of AI-driven recruitment by presenting a transparent, adaptive and practically deployable interviewing system.

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Submitted on: 2026-02-24 12:20:08

6. IMPACT OF ONLINE LEARNING ON EDUCATION

Author: Khushi Nitesh Bari

Email: khushibari2421@gmail.com

Abstract: The rapid expansion of online learning over the past two decades — accelerated dramatically by the COVID-19 pandemic — has reshaped educational access, pedagogy, assessment, and outcomes across primary, secondary, and tertiary settings. This paper reviews existing literature, proposes a mixed-methods empirical design, synthesizes major findings from global studies, and discusses implications for policy and practice. We find consistent evidence that online learning can increase access and flexibility, offers opportunities for personalized and competency-based instruction, and supports cost efficiencies. However, outcomes vary widely depending on instructional design, digital infrastructure, learner characteristics, and socio- economic context. Equity gaps, academic integrity concerns, and teacher readiness remain central challenges. The paper concludes with recommendations for evidence-informed implementation, capacity building, and avenues for future research.

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Submitted on: 2026-02-24 12:42:48

7. A Comparative Study on Awareness and Usage of AI Tools Among Students and the General Public

Author: Mr.Shaikh Alfarhan Sk Farooque

Email: alfarhanshaikh8611@gmail.com

Abstract: Artificial Intelligence (AI) is rapidly transforming various sectors, particularly education and everyday decision-making processes. This study examines the level of awareness, usage patterns, and perceptions of AI tools among students and the general public. A structured survey was conducted using a questionnaire distributed through Google Forms, collecting 70 valid responses. The survey included questions related to familiarity with AI, frequency of usage, confidence levels, and perceived benefits and challenges. The collected data were analysed using percentage methods and graphical representations to identify trends and differences between the two groups. The findings reveal that students demonstrate significantly higher awareness and more frequent usage of AI tools compared to the general public. Additionally, students exhibit greater confidence in applying AI technologies for academic and practical purposes. The study emphasizes the role of digital literacy and educational exposure in shaping AI adoption. It concludes that targeted awareness initiatives and training programs can help bridge the knowledge gap and promote responsible and effective use of AI tools in society.

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Submitted on: 2026-02-24 14:11:12

8. Memory management in c language using pointers

Author: Agrawal Vansh Dinesh

Email: vanshaagrawal2008@gmail.com

Abstract: The role of memory management concepts is very important in C programming. The fact is that C does not support dynamic memory management, unlike other programming languages. This means that the programmer has to manage memory allocation and deallocation while programming in C. Pointers are very important in C programming, especially when dealing with dynamic memory allocation at run-time. It is important to understand and use pointers correctly to prevent errors such as memory leakages, dangling pointers, and segmentation faults, which may result in poor program performance. This research paper will highlight the explanation of different aspects of memory management in C programming using pointers. It will also highlight different dynamic memory management methods using functions such as malloc(), calloc(), realloc(), and free().

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Submitted on: 2026-02-24 14:33:56

9. How Social Media and Smartphones Shape Students’ Happiness

Author: Mayur S.Shimpi

Email: mayurshimpi2006@gmail.com

Abstract: With the ever-advancing technology of smartphones and social media, the impact of these technologies on the emotional experiences of students has become more intricate than ever before. This study examines the effects of the latest digital behaviors on the happiness of students, taking into consideration emotional bonding, expression, support, and psychological pressure. Based on the latest observations of human behavior, the latest psychological theories, and the practical experiences of students, this study offers a well-rounded perspective on the creation, maintenance, and sometimes disruption of happiness in digital environments. The results of this study indicate that the happiness of students is not affected by technology but by the way it is employed.

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Submitted on: 2026-02-25 08:16:14

10. Impact of Artificial Intelligence on Mental Health: A Critical and Ethical Perspective

Author: Preksha Dilip Patil

Email: prekshapatil38@gmail.com

Abstract: Abstract Artificial Intelligence (AI) is increasingly shaping modern life, influencing healthcare delivery, digital services, and personal decision-making. In mental health, AI demonstrates significant potential by enabling early detection of psychological disorders, personalized treatment strategies, and remote support for patients. Despite these benefits, its rapid adoption raises concerns regarding privacy, emotional well-being, addictive behaviors, and ethical responsibility. This paper critically evaluates AI’s impact on mental health, emphasizing both positive contributions and potential challenges. Ethical considerations and future directions for responsible AI deployment are discussed to ensure sustainable, human-centered mental health support (Shatte et al., 2019; Blease et al., 2021)

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Submitted on: 2026-02-25 08:21:18

11. “Smart Tourist Safety System using AI & Geo-Fencing”

Author: Divya kailas Chaudhari

Email: chaudharidivya557@gmail.com

Abstract: Abstract: The rapid growth of tourism has increased safety concerns such as identity fraud, missing tourist cases, health emergencies, crowd panic, and delayed emergency response. This research proposes a Smart Tourist Safety Monitoring & Incident Response System using Artificial Intelligence (AI), Geo-Fencing, Blockchain, and IoT technologies. The system provides a Blockchain-based Digital Tourist ID for secure and instant verification at checkpoints through QR codes, reducing fake identity risks. Geo-fencing and GPS tracking monitor tourist movement and send alerts when entering high-risk zones. An AI-based anomaly detection system identifies unusual behavior, route deviation, or prolonged inactivity. A mobile app with a one-click SOS button instantly shares live location with police and family members. IoT smart bands monitor health conditions and trigger automatic alerts during emergencies. The system also includes multilingual support, disaster alerts, and a police dashboard with real-time heatmaps. Overall, the solution improves tourist safety, response time, and data security. Keywords: Smart Tourism, Artificial Intelligence, Geo-Fencing, Blockchain Technolog, Digital Tourist ID, IoT Devices, GPS Tracking, Anomaly Detection, Data Privacy

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Submitted on: 2026-02-25 08:23:06

12. Milk supply area and revenue analysis dashboard

Author: Pradnya samadhan patil

Email: diuupatil9890@gmail.com

Abstract: This research present a milk supply area and revenue analysis dashboard that analyze milk distribution and revenue across different regions.This system uses data visualization to show area wise contribution , revenue,and performance trends .It helps improve decision making transparency and efficiency in dairy supply management

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Submitted on: 2026-02-25 08:38:21

13. Milk supply area and revenue analysis dashboard

Author: Pradnya samadhan patil

Email: diuupatil9890@gmail.com

Abstract: This research present a milk supply area and revenue analysis dashboard that analyze milk distribution and revenue across different regions.This system uses data visualization to show area wise contribution , revenue,and performance trends .It helps improve decision making transparency and efficiency in dairy supply management

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Submitted on: 2026-02-25 08:38:35

14. Security challenges in cloud based application

Author: Mahima Arvind Patil, Diksha subhash Mahajan

Email: patilmahima12@gmail.com

Abstract: This paper talks about the main security problems in cloud computing. Cloud services are growing very fast because they make storing and using data easier and cheaper. But the biggest worry for anyone using the cloud is keeping their data safe. Since cloud systems are all online, hackers can try to break in and steal information. As more people use cloud services, the risks also increase. Companies are working hard to improve cloud security, but attackers are also finding new ways to exploit weaknesses. The paper explains different cloud models and services, the risks like virtualization flaws, storage issues, and shared access problems, and challenges such as cyberattacks, insider misuse, lack of standards, insecure APIs, and government intrusion. It concludes that cloud security is not just about technology—it also depends on people and processes. To keep cloud systems safe, organizations need strong policies, transparency, and advanced protection methods.

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Submitted on: 2026-02-25 08:41:24

15. Cyber security challenges in online education platform.

Author: Shrutika Patil, Rupali Thakare, Jagruti Bhoi

Email: shrutikapatil372004@gmail.com

Abstract: Online education is widely used today, but it faces many cybersecurity problems. Online learning platforms store personal and academic information, which makes them targets for cyberattacks like phishing, malware, and data theft. This study looks at the cybersecurity problems in online education platforms and how aware users are about online safety. The study uses survey data to understand user behavior and security practices. The results show that many users do not follow safe cybersecurity practices, and institutions provide very little security training. Even though users think they use strong passwords, their security habits are not always good. The study concludes that better security systems, more user awareness, and new technologies like AI and blockchain are needed to make online education platforms safe and trustworthy.

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Submitted on: 2026-02-25 08:43:50

16. Impact of artificial intelligence on job market

Author: Roshani Anil Jain

Email: roshanijain544@gmail.com

Abstract: This research paper searches the revolutionary role of artificial intelligence (Al) within the international labour market, specifically examining how rapid technological progress is restructuring the modern workforce. The study examines the “dual-edged” nature of Al integration: its potential to cause widespread job replacement alongside its capacity to generate entirely new professional categories. By synthesizing existing literature & empirical data, this paper clarifies a shifting employment paradigm where Al serves as both an automation tool for repetitive tasks & a catalyst for industrial foundation. While traditional roles may face ancientness, the technology simultaneously facilitates the architecture of new career paths across sectors ranging from technical support to the creative arts.

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Submitted on: 2026-02-25 08:51:57

17. Awareness of green computing and sustainable IT

Author: Tanuja Pravin Rane , Priti subhash bendale, Mohini Sanjay Patil

Email: ranetanuja84@gmail.com

Abstract: Information and communication Technology (ICT) has transformed work, learning, and interaction, improving productivity and employment opportunities. However, rapid ICT growth raises environmental concerns due to high energy use, greenhouse gas emission, and electronic waste throughout device lifecycles. Green computing addresses these challenges through energy-efficient hardware, eco-friendly design, responsible manufacturing and effective e-waste management. Despite increasing awareness, adoption remains limited by high costs and lack of standardization. This paper examines the level awareness of green computing and proposes strategies that organization can adopt to minimize environmental impact while reducing operational cost, emphasizing the importance of standardization for a sustainable digital future.

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Submitted on: 2026-02-25 09:21:18

18. Impact of artificial intelligence on job market

Author: Roshani Anil Jain

Email: roshanijain544@gmail.com

Abstract: This research paper searches the revolutionary role of artificial intelligence (Al) within the international labour market, specifically examining how rapid technological progress is restructuring the modern workforce. The study examines the “dual-edged” nature of Al integration: its potential to cause widespread job replacement alongside its capacity to generate entirely new professional categories. By synthesizing existing literature & empirical data, this paper clarifies a shifting employment paradigm where Al serves as both an automation tool for repetitive tasks & a catalyst for industrial foundation. While traditional roles may face ancientness, the technology simultaneously facilitates the architecture of new career paths across sectors ranging from technical support to the creative arts. However, the shift brings significant economic friction for replaced workers, requiring a complex balance of organizational efficiency & social responsibility. Finally, the research maps these industrial trends & evaluates public sentiment regarding the future of work.

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Submitted on: 2026-02-25 12:00:16

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