Recent Trends in Computer Science and Software Technology ISSN: 3139-1389 (Online)

Authors:-Dr. Sanjay Maheshwari

Abstract:-The Cloud computing emerges as a new computing paradigm which aims to provide reliable, customized and guaranteed dynamic computing environments for end-users. In this paper, we study the Cloud computing paradigm from various aspects, such as definitions, distinct features, and enabling technologies. The Cloud computing emerges as a new computing paradigm which aims to provide reliable, customized and guaranteed dynamic computing environments for end-users. In this paper, we study the Cloud computing paradigm from various aspects, such as definitions, distinct features, and enabling technologies. The virtualization concept plays a dominant role in doing all this; the environment is virtualized to hide the implementation of how they are multiplexed and shared. In this paper we explore the possibilities, how the emerging data centre “Cloud†model of computing is going to more profitable and eco friendly, in comparison to the traditional computing model. SOA and cloud computing share many common principles, but also differ significantly in their role in IT architecture. SOA is mainly an application architecture with horizontal services; while cloud computing is an IT architecture with vertical services.

Authors: Dr. Shalini Das

Abstract: Adaptive learning systems are transforming educational experiences by personalizing content delivery based on student behavior and performance. Reinforcement learning (RL), a subset of machine learning, offers dynamic adaptation capabilities that significantly enhance such systems. By continuously learning from user interactions, RL-driven adaptive systems optimize instructional strategies to cater to diverse learner profiles. This paper explores the integration of reinforcement learning in adaptive educational technologies, highlighting methodologies, advantages, challenges, and real-world implementations.

Authors: Aditi Tyagi, Anshu Chaudhary, Sahil Chaudhary, Shubham Gill

Abstract: Online Charity Portal is web-based registration software that helps you to donate money, wastes online. It is ideal for Home, Society, School, Hospitals, Factories, and Offices. The Online Charity Portal allows Peoples, through Internet to register or donate within the registration period. An Online Charity.com system is developed with a front-end web interface and a back-end database.

Online Charity Portal topic will help in developing and understanding many aspects of Online Charity and appreciation of its place in the Global Charity.

Authors: Vikrant Chole, Srushty Ganvir, Rushab Bagwan, Ankit Manapure, Ragini Suryavanshi, Anshul Ganvir

Abstract: In our paper, attendance management system is introduced through which the salary will be calculated of the employee. This system consists of a hardware through which the employee can mark their attendance and once the attendance is made, the salary of the employee can be calculated using their personal details and based on their attendance.

Authors: Suvrata Saha, Rahul Gour, Pooja Kamble, Piyush Pandey, Hrishikesh Kedar, Professor Sharda Chhabria

Abstract: In today's time, education plays the most important role to achieve success. Examination prepare students delving for more knowledge. So, assay of their knowledge is quite necessary. Earlier the traditional method of generating question paper was done manually. We have proposed an automated system of Question Paper Generation which is fast, automated, easy and secure. The proposed application helps in reducing the tedious task of the teachers of manually creating the question papers in an efficient manner. As the name suggest the tasks which were then performed by the faculties now will be carried out on the phone. The proposed application will be helpful to many educational institutes and NGO based institutes.

Authors: Dhanashree Rajderkar, Shivam Singh, Gayatri Akhade, Megha Shelare, Shambhavi Mase

Abstract: In this paper, a human computer interface using eye movement is introduced. This eye tracking technique provides hand free access to the handicapped people. In this technique we use eyes instead of input devices. This system tracks the users eye movement with a camera mounted over user’s face and translate them into the movement of mouse cursor on screen and also detect user’s eye staring on icon and translate it into click operation on screen.

Authors: Rahul H Sathawane, Santosh Kumar Sahu

Abstract: Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends; customer preferences and other useful information that can help organizations make more-informed business decisions. Big data is big news and so too is analytics on big data. Technologies for analyzing big data are evolving rapidly and there is significant interest in new analytic approaches such as Hadoop, MapReduce and Hive, and MapReduce extensions to existing relational DBMSs. This paper examines the benefits of big data and the role of the data scientist in deploying big data solutions. It discusses the benefits of Hadoop, MapReduce, Hive, and relational DBMSs that have added MapReduce capabilities. It presents a set of scenarios outlining how Hadoop and relational DBMS technology can coexist to provide the benefits of big data and big data analytics to the business and to data scientists. As an example of the use of MapReduce in a relational DBMS, the paper also reviews the implementation of MapReduce in the Aster Database

Authors: Ashita Wadhawan, Vishal Kumar, Krishan Kumar

Abstract: Current practice uses a log book to document meetings and discussions between supervisors and students. Although a detailed schedule has been proposed, there is no monitoring process to trigger specific actions to make sure all deadlines are met. To improve project monitoring supervision, a prototype of a web-based supervision management system was designed and developed. The initial prototype consists of three modules, namely user profile, project monitoring (of software development and report writing) and appointment setting. Once the prototype is completed, we plan to conduct a user acceptance test. This information could be the general details like student name, address, performance, attendance etc or specific information related to departments like collection of data.

This portal will provide an integrated view for the project in process .This will also help to increase efficiency of students. As they have to follow strict deadlines which will help them to improve efficiency and coordination of students among each others. It will include an admin section which can be only controlled by faculty. This will also provide us with the latest update of each project simultaneously .This software also provide mentors authority of approval or disapproval before the final presentation/ final assessment. Hence it will maintain record of all the activities throughout the project development.

 

Authors: Manish Krandikar, Satish Pusdekar , Amruta Thakre, Vaishnavi Pimplapure, Prachi Gavhale, Yamini Guhe

Abstract: RA is inflammation diseases and is used to predict the arthritis it will affect the body parts is legs, joints, and wrist and many others. RA is one less part of arthritis with the help of the arthritis we can detect the patient is actual suffer or not, also we will use the thermal image by using the thermal camera to detect the total pixel area of thermal image and in image we can select the any area that are present in thermal image all the process is going through the MATLAB processing system. Also we will detect the actual value of skin area and total pixel we can use the neural network. Neural Networks helps to check the previous database and get the correct output for these also it will be available to different technique to do a various logical, statistical parts are included neural network includes three layers that is input , middle ware layer and output layer it will goes from these three layer and it will get that result.

Authors: Anupreet Kaur, Jasnidh Kaur Ahuja, Megha Shukla, Nidhi Gupta

Abstract: A Resume is a document used to represent a person's background and skills. It is used to screen applicants based on the profile required. In this paper, we present a solution to analyze huge amount of resumes using HDFS and MapReduce and reduce duplicity among millions of resumes. Our implementation of Hadoop is in pseudo mode.

Authors: Anurag Khadase , Diksha Jambhulkar, Pradip Ramteke, Shubham Borghare, Amit Pimpalkar

Abstract: Text prospecting refers to the use of data prospecting, tweet analysis, compotation calculations, and symmetric to systematically determine, cutting, characterize, and study feeling states and instinctive useful data. Text mining is widely applied to voice of the client materials such as reviews and survey analysis, online and social media, and wellness program for applications that range from marketing to customer courtesy to clinical medicine. Conventionally on twitter posting, text analysis aims to determine the prejudice of a twitter account holder, advertisement or other subject regarding some motive or the overall transient polarity or impulsive receptivity to archive, intercommunication, or event. The attitude may be a prudence or estimation, affective state (haddest say, the impulsive state of the author or speaker), or the steady impulsive articulation. We extracted recent 50 tweets as a sample to analyze the sentiment of a selective twitter handle or twitter account using the highest score generated for positive, negative & neutral file.

Authors : Dr. Shalini R. Mehta, Dr. Karthik Bansal

Abstract: As quantum computing evolves, it poses significant risks to classical cryptographic systems that underpin global digital security. Post-Quantum Cryptography (PQC) emerges as a proactive defense, aiming to establish cryptographic systems resilient against quantum attacks. This paper explores the principles of PQC, its underlying algorithms, global standardization efforts, and implementation challenges. We provide an in-depth analysis of lattice-based, hash-based, and multivariate polynomial cryptosystems, and their performance across security, speed, and storage metrics. By reviewing recent NIST competitions and practical deployments, the paper outlines strategic directions enterprises and governments should consider for PQC transition. This study emphasizes the urgency of transitioning to quantum-resistant infrastructures to secure digital assets and communications in the quantum future.

Keywords: Post-Quantum Cryptography, Quantum Computing, Cryptographic Algorithms, Lattice-based Encryption, Cybersecurity, NIST Standards, Secure Communication

Authors: Dr. Priya Khandelwal

Abstract: The emergence of Low-Code and No-Code Development Platforms (LCNC) has revolutionized application development by significantly lowering technical barriers. These platforms empower users with minimal or no coding knowledge to build complex applications using graphical interfaces and pre-built components. This paper explores the key features, benefits, use cases, and limitations of LCNC platforms, analyzing their role in democratizing software development. Additionally, the study presents a comparative analysis of popular LCNC tools and evaluates their impact on productivity and innovation in business and IT landscapes.

Authors: K.Vikram, Poonam Gupta

Absttract: The Internet of Things continues to develop, further potential is estimated by a combination with related technology approaches and concepts such as Cloud computing, Future Internet, Big Data, robotics and Semantic Technologies The idea is of course not new as such but becomes now evident as those related concepts have started to reveal synergies by combining them.

Author: Kanakam Siva Ram Prasad

Abstract: Due to recent development and innovation in both hardware and software, the global network of networks, or Internet of Things (IoT), is finally becoming a reality. The IoT’s diverse billions of communicating devices, or smart objects (SOs), enables a new paradigm of interactivity among all manner of things and people. One of the IoT’s biggest hurdles is the monolithic nature and fragmentation of existing vertical closed systems, architectures, and application areas. In this paper discussed briefly about the initiatives like Policy on Internet of Things (IoT), Smart Cities, Centre of Excellence for IoT in Bangalore by GOI and NASSCOM, Andhra Pradesh to become an IoT hub with first-of-its-kind policy, Tech Giants back Digital India Vision taken up by Government of India as well as the applications of IoT. Methodology of IoT in India.

Authors: Pradnya Sumit Moon, Vrushali K. Moon, Karishma Chavhan

Abstract: Scheduling is a technique which makes an arrangement of performing certain tasks at specified period. The intervals between each function have been clearly defined by the algorithm to avoid any overlapping. The real time computing systems are those in which there are strict timing constraints that have to be met to get the correct output i.e. the output not only depend on the correctness of the outcome but also on the time at which results are produced. Real time systems are expected to change its state in real time even after the controlling processor has stopped its execution. The bound in which real time applications are needed to respond to the stimuli is known as deadline. In order to achieve optimized results in real rime operations the scheduling techniques has been used. In the paper we classify the various scheduling techniques based on different parameters. Also techniques used for scheduling in real time environment are analyzed and comparison between different techniques has been done.

Authors: Dr. Nilesh Tiwari, Sneha Roy

Abstract: Continuous Integration (CI) has become a fundamental aspect of agile development and DevOps culture. As software cycles shorten and demand faster delivery, test automation plays a crucial role in ensuring quality and speed. The integration of Artificial Intelligence (AI) into test automation brings intelligent test generation, dynamic maintenance, and predictive analytics to the table. This paper discusses the evolution, implementation strategies, and impact of AI-driven test automation in CI pipelines. It highlights real-world applications, benefits, limitations, and offers a comparative analysis of AI-powered testing tools in modern development workflows.

Authors: Namrata Chaubey, Shubham Jain, Hement Saraswat

Abstract: Inventories are raw materials, work-in-process goods and completely finished goods that are considered to be the portion of business’s assets that are ready or will be ready for sale Inventory could be added to the organization in two ways, one way is to store the inventories initially in advance, but that’s more expensive and profitable and the other way is to keep adding everything in the stock according to our need , that’s a slow process but less expensive. Our project “ E – record System†basically deals with the management of the computer appliances available in the college and to provide a request based service of any specific item to the user , tackle the complaints and the user information related to the assignment of appliances to them.

Authors: Deepika P. Pachpute, Vina M. Lomte

Abstract: In the cloud, for achieving access management and keeping information confidential, the information the information house owners might adopt attribute -based encoding to encode the keep data. Users with restricted computing power are but a lot of possible to delegate the mask of the decoding task to the cloud servers to cut back the computing value. As a result, attribute -based encoding with delegation emerges. Still, there are caveats and queries remaining within the previous relevant works. As an example, throughout the delegation, the cloud servers might tamper or replace the delegated cipher text and respond a cast computing result with malicious intent. They will additionally cheat the eligible users by responding them that they're ineligible for the aim of value saving. What is more, throughout the encoding, the access policies might not be versatile enough likewise. Since policy for general circuits allows realizing the strongest variety of access management, a construction for realizing circuit cipher text-policy attribute-based hybrid encoding with verifiable delegation has been thought of in our work. In such a system, combined with verifiable computation and encrypt -then-mac mechanism, the information confidentiality, the fine-grained access management and also the correctness of the delegated computing results are well bonded at identical time.

Authors: Pragati Sachdeva, Himani Gupta, Lakshay Gaur

Abstract: In the institution, majorly grievances are handled and conveyed verbally, through applications, or through registers which is inconsistent, timeconsuming and require a lot of effort in creating and maintaining the applications. The ‘Complaint Desk’ project will be designed with an objective to overcome all the limitations of the manual systems, and to allow the handling of Complaints and files with minimum effort and in less time. By computerizing the system, the students or employees can file their complaints and get their problems solved without the need of going to the Admin Office every time. The idea is to provide ease of working to the employees/students by providing online services to them. The students and employees can simply log in to the system with their Login Id and Password and convey their grievances. The sender can afterwards check the status of their posted complaint and close the complaint only after being fully satisfied. The concerned person can check his/her mailbox to review the grievances and perform necessary actions.

Author: S. Devi Mahalakshmi

Abstract: Internet Of Things (IoT) is a shared network of objects or things which can interact with each other provided the internet connection. IoT plays an important role in agriculture industry which can feed 9.6 billion people on the Earth by 2050. Smart Agriculture helps to reduce wastage, effective usage of fertilizer and thereby increase the crop yield. In this work, a system is developed to monitor crop-field using sensors (soil moisture, temperature, humidity, Light) and automate the irrigation system. The data from sensors are sent to web server database using wireless transmission. In server database the data are encoded in JSON format. The irrigation is automated if the moisture and temperature of the field falls below the brink. In greenhouses light intensity control can also be automated in addition to irrigation. The notifications are sent to farmers’ mobile periodically. The farmers’ can able to monitor the field conditions from anywhere. This system will be more useful in areas where water is in scarce. This system is 92% more efficient than the conventional approach.

Authors: Dr. V. Ramesh, Ms. Divya M.

Abstract:  Explainable Artificial Intelligence (XAI) addresses the growing need for transparency in AI decision-making systems. As AI systems are increasingly deployed in critical domains such as healthcare, finance, and legal sectors, understanding the rationale behind their decisions becomes imperative. This paper explores recent developments in interpretable models, post-hoc explanation techniques, and evaluation methods. It emphasizes the balance between model accuracy and interpretability and provides real-world examples showcasing the necessity of XAI in high-stakes applications.

Author: Dr. Meenakshi Rao, Karan Sinha

Abstract: Large-scale data mining has emerged as a powerful approach for extracting meaningful insights from massive data repositories. However, the rapid growth in data volume and variety raises significant ethical concerns, including privacy violations, algorithmic bias, data misuse, and lack of informed consent. This paper examines the key ethical challenges faced during large-scale data mining and proposes mitigation strategies, such as transparent algorithms, legal compliance, and ethical frameworks. By emphasizing responsible data practices, the paper advocates for a balanced approach that leverages technological capabilities while protecting user rights and social values.

Author: Namrata Singh

Abstract: Steganography is the art of concealing the way that correspondence is occurring, by concealing data in other data . In this paper, we examine different types of text - Steganography procedures. There are distinctive techniques for text Steganography. We describe it one by one for concealing secret data in text. There exists a huge variety of text Steganography strategies, some are more complex than others and every one of them have individual strong and week point. Different applications have distinctive necessities of the text Steganography technique used. We describe a typical application that needs both total imperceptibility and extensive secret information get covered up. We analyse some fundamental strategy for text based - Steganography technique.

Authors: Dr. Thyagaraju G S, HMT Gadiyar, U B Sujit

Abstract: Internet of Things (IoT) constitutes an environment where in things interact with each other intellectually to provide useful and meaningful services. The services provided by the IoT systems can be used in wide variety of applications related to health care, transportation, resource management, entertainment, e- shopping, security, etc. Recent advances in IoT is paving the way to the Intelligent transportation wherein the vehicles embedded with the set of sensors can absorb information from the environment (and from the vehicle) and feeding it to drivers and infrastructure to assist in safe driving.This paper presents a report on the prototype design of Smart and Safe Driving Application (SSDA).The proposed Application is designed to avoid fatal road accidents by providing context aware alert information related to fuelstatus, overall condition of the vehicle, objects surrounding the vehicle, traffic rules and drowsiness state of the driver. Majority of the road accidents occurs due to various reasons like drowsiness state of the vehicle driver, position of the vehicle in the traffic, unaware about the speed and condition of the other vehicles nearby, violation of traffic rules, abnormal condition of vehicle parts , abnormal driving of other surrounding vehicles , etc. .In this paper the authors have presented a system of IoT which captures the data from the environment and inside the vehicle using embedded sensors, wireless sensor network and internet to provide the contextual information for the driver to take timely actions for smooth and safety driving.