Category Archives: Uncategorized

Authors: Milan Bhimani, Treesha Bacchuwar, Asst. Prof. Himanshu Tiwari, Sadap Bibi, Zinal Shah

Abstract: The rapid growth of digital platforms has transformed the way people discover and participate in local events. However, existing event discovery systems often focus on large-scale gatherings, neglecting hyperlocal activities rel- evant to smaller communities such as college campuses. This paper presents the design and development of a Hy- perlocal Event Finder System, a web-based platform that leverages geolocation and interest-based filtering to provide users with real-time access to nearby events. The system is built using a full-stack architecture with React.js for the frontend, Express.js and Node.js for the backend, and MongoDB as the database.It integrates user authenti- cation, event management, and recommendation features to deliver a seamless experience. Testing and evaluation demonstrate that the platform effectively addresses acces- sibility, scalability, and usability challenges, making it a promising solution for students and community members seeking context-specific event engagement. Future work will enhance personalization through advanced recommen- dation models and mobile application support.

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Education is the major difference between the human and other species, this is the basic tool of knowledge transfer. Apart from basic knowledge information of some research is transfer by research articles. For this Journals are present that provides a repository for the people to save. Many of scholars or researcher search for the Free Academic Journals that provides free access to the readers so that knowledge is transfer to many relevant people who are looking for the same research area. This article help such scholar to get those journals such websites have following set of features:

Submit Your Paper  / Check Publication Charges

1. Journals archive section have list of articles check recent published articles and download the paper for free.

2. To generate revenue journals takes a small charges in name of publication or management.

3. Scholar should check the journal author section and search for the type of charges journal takes from the user. Some of journals who do not take any publication charges are unpaid journals but they work on subscription model where published article is download only for subscribed users.

4. Journals that do not show such information should be avoid for publication because they might charge after acceptance. Further charges of such journals are very high mostly depends on the country.

5. Always find that journal do regular publication in each volume issue this shows that journal is active and work for the author.

6. Some of publishers do not specify type of charges at submission and ask it once they send a acceptance email, so if possible then find the contact details of such publisher before publication of paper.

7. Any of journals that clearly specify the publication charges, contact number, provide various medium of publication are god publication house journals.

Many of Free Academic Journals that do publication and provide open access for free are either funded by government or some research organization always do very hard review. Publication in such journal tough for the beginners. So to develop a research profile author should go for the publication of journals who either take very less fees or very less subscription. Such journal should have good team as well so each published article have wider reach around the world.

Published by: vikaspatanker

Many of Bachelors, Masters and Doctorates degree courses make a compulsion for scholars to do publication. So Free Journals for Publication is highly required, but many of authors are not aware how to judge a online website and where to do publication. For this scholars always go for taking the guidance from the mentor but similar question from all scholars makes trouble for the mentor. So instead of answering the scholars mentor should prepare list of journals that follow the minimum criteria of publication that is acceptance for the department and university. To make things following set of rules should be check by the professors:Many of Bachelors, Masters and Doctorates degree courses make a compulsion for scholars to do publication. So Free Journals for Publication is highly required, but many of authors are not aware how to judge a online website and where to do publication.

Submit Your Paper  / Check Publication Charges

For this scholars always go for taking the guidance from the mentor but similar question from all scholars makes trouble for the mentor. So instead of answering the scholars mentor should prepare list of journals that follow the minimum criteria of publication that is acceptance for the department and university. To make things following set of rules should be check by the professors:

1. Always select a journal that a proper website with editorial board, reviewers, publication team.

2. Check available contact details, do not go with website who just mention a contact form no email-id, contact number.

3. Check the publication charges of the single paper many of journals takes an paper and review it but later on charge more than normal publication. If fees is not mention on site avoid it, if publication is very high then reject it.

4. Further check the relevancy of the published articles with the author research background if everything is same then choose for the publication otherwise find other other.

5. Publication done in the archive section should be regular and have variety of content, this shows that journal is working actively.

6. Scholars should look for the journals publication policy that mention the review process, review time (approx.), article available for everyone as a open access or not. Try to choose those journals that provides the publication for open access, as reach of such paper content is high.

7. Many of Free Journal for Publication provides the publication but review process of such journal is time taken and need very good quality of paper. So budding researcher should avoid such publishers.

8. Journal who provide proper communication at every step is good, do not go with journals that takes submission fees or review process fees.

9. Publication certificates should be free for every author, should publisher should clearly mentioned about the certificates.

Mentor can use above rules and share with scholars to filter journals, one more way is professor can prepare a list of such journals and share with students.

Published by: vikaspatanker

Authors: Dr. S Anitha, Jesvin Bruce J, Jasvanth K, Devi K, Dhanusurya S

Abstract: The rise in cybercrime cases in India has brought about an imperative for a safe and intelligent reporting mechanism. iReport: A Cybercrime Assistant is an online platform that could perhaps provide registration, categorization, and tracking of cybercrime complaints as a simplified process. It utilizes Natural Language Processing and Machine Learning algorithms to identify the type of crime and prioritize levels to be investigated at high speed. A multilingual chatbot facilitates users through the filing process with support in several Indian languages offered effortlessly. Different user roles such as citizens, police, and administrators are handled by a role-based access control system to maintain privacy and administration. The website also utilizes strong encryption mechanisms like AES-256 and SSL to protect data from users and ensure data integrity. Having real-time complaint status updates, a solid RESTful backend, and a database of complaints in structured format, iReport aims to have a free, efficient, and effective online mechanism for reporting and managing cybercrimes

DOI: http://doi.org/10.5281/zenodo.17500894

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Authors: Aadesh Patil, Mohit Jain, Krish Bangre, Laiba Syed, Mohisha Sharma, Raghav Jangid, Reshma Sonar

Abstract: The Internet of Things (IoT) has grown from a simple idea of connected devices to a huge network that is part of our daily lives and important industries. As it has grown, it has also become a bigger target for hackers. This paper looks at new and emerging threats to IoT security. We group these threats into four main areas: the use of Artificial Intelligence (AI) for attacks, problems in the supply chain where devices are made, weaknesses in new networks like 5G, and the future risk from quantum computers. We will explain how AI can be used to create smart botnets and malware that changes to avoid being caught. We will also look at how vulnerabilities can be put into devices before they are even sold, through both software and hardware. We will examine the security issues that come with 5G and edge computing. Finally, we will discuss the major threat that quantum computing poses to the encryption we use today. Using real-world examples like the Mirai, Stuxnet, Verkada, and SolarWinds attacks, we will show how serious these threats can be. In response, we will look at modern defense ideas like the Zero Trust Architecture and the potential use of blockchain. The paper concludes by summarizing these new threats and pointing out where more research is needed to make the IoT world safer.

Published by: vikaspatanker

Authors: Sanjay Singh, Manas Bajpai

Abstract: Modern battlefields demand real-time intelligence and rapid decision-making in complex environments. This paper proposes an AI-assisted multi-sensor fusion architecture deployed on FPGA-based Unmanned Aerial Vehicles (UAVs) for enhanced situational awareness. The system integrates data from hetero- geneous sensors—thermal, acoustic, visual, and radar—through a lightweight fusion algorithm optimized for FPGA implementa- tion. The use of adaptive AI-driven fusion enables low-latency, power-efficient and reliable detection of enemy drones, impro- vised explosive devices (IEDs) and human activity. Experimental simulations demonstrate significant improvements in detection accuracy and response time compared to conventional centralized systems.

DOI: https://doi.org/10.5281/zenodo.17528750

 

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Authors: Professor Pradnya Patange, Atharv Pate, Harsh lonari, Mayuresh Kshirsagar, Manish Patil

Abstract: The rapid advancement of deepfake technology has introduced significant challenges to digital media authenticity, enabling the creation of highly convincing synthetic images and videos that are difficult to distinguish from genuine content. This study proposes an advanced deepfake detection framework based on the Temporal Vision-Language Transformer (TVLT), a cutting-edge multimodal deep learning architecture that jointly learns from visual, temporal, and semantic representations. Unlike traditional convolutional or recurrent models that focus solely on spatial or temporal domains, the proposed TVLT-based system integrates cross-modal attention to capture complex correlations among video frames, motion patterns, and audio-text alignment cues. The model efficiently identifies inconsistencies in facial movement, speech synchronization, lighting, and micro-expressions—features that deepfake generation methods struggle to replicate authentically

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Authors: A.K. Makwana, Prutha Priteshkumar Shah

Abstract: This research paper aims to understand consumer preferences toward ready-to-eat (RTE) and ready-to-cook (RTC) food products. With the growing pace of urbanization, changes in lifestyle, and time constraints, there has been an increasing inclination toward convenience foods. A survey was conducted among consumers to analyze their frequency of purchase, influencing factors, spending patterns, and preferences. The results indicate that taste, convenience, and price play significant roles in consumer decision-making, with the majority preferring vegetarian options and spending less than ₹500 monthly on such products. The study concludes with insights and recommendations for manufacturers to better meet consumer needs.

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Authors: Siddhi Pramod Lande, Samruddhi Ravindra Alhat

Abstract: Recognizing emotions is very important for connecting human emotions with artificial intelligence. This study introduces Emotion Sense, a sophisticated real-time facial emotion recognition system utilizing deep learning and explainable AI (XAI). The suggested system uses a better MobileNetV3 architecture along with Coordinate Attention (CA) and Grad-CAM visualization to get high accuracy and make the results easy to understand. The model recognizes seven fundamental human emotions: happiness, sadness, anger, surprise, fear, disgust, and neutrality. The FER-2013 data set. Emotion Sense solves two big problems that traditional CNN-based models have by combining real-time performance with explainability. This makes it both accurate and clear. The experimental results show that it is 90.2% accurate and runs smoothly at 25 frames per second on CPU devices. This shows that it is useful for real-world applications like healthcare, education, and human-computer interaction. This research is unique because it uses a hybrid design that balances speed, accuracy, and interpretability while staying strong in different real-world situations

DOI: http://doi.org/10.5281/zenodo.17491066

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Authors: Abhendra Pratap Singh, Riya Rani, Arpit Dwivedi, Nandini Sharma, Aakriti Sharma

Abstract: Cloud computing has historically been vital to the rapid advancement of multi-robot systems and autonomous cars for data processing, model training, and decision-making. However, the increasing demand for scalability, data privacy, and real-time responsiveness has exposed significant limitations of centralized cloud systems, such as excessive latency, bandwidth dependence, and security flaws. Federated Learning (FL) and Edge Computing (EC), which work together to provide decentralized and privacy-preserving intelligence, have become the focus of research in an effort to overcome these limitations. This paper addresses autonomous vehicles and multi-robots operated as edge nodes that train machine learning models locally on their own data, sharing just updates or model parameters with a central server instead of sending unprocessed information. This decentralized method greatly lowers communication costs, improves data secrecy, and facilitates real-time decision-making—all of which are crucial for operations that depend on safety. This paper’s contribution is to thoroughly analyze the issues including non-IID data dissemination, constrained computational and energy resources, and possible security risks, notwithstanding their benefits. In order to improve scalability, trust, and dependability, future research will combine block chain technology, 6G connectivity, and digital twin simulation. All things considered, the shift from cloud-centric computing to federated edge intelligence represents a critical advancement in the development of intelligent, safe, and effective autonomy in robotic ecosystems and next-generation automobiles

DOI: http://doi.org/10.5281/zenodo.17490951

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