Volume 13 | Issue 5 |

 Abstract

Python implementation of a real-time network analyser is provided here. It shows traffic by protocol, Internet protocol (IP), IP address packets and shows top Ips depending on traffic. It also shows incoming and exiting traffic. As Internet-connected devices grow tremendously, traffic management and network traffic tracking's complexity has skyrocketed as well. Ensuring network security, bandwidth optimization, and anomaly detection depends on traffic analysis tools, which are absolutely indispensable. This project presents a Python real-time traffic analysis tool meant to track, show, and investigate real-time traffic data. It records packets in real time from the network interface and analyses important data including protocols, packet lengths, destination and origin Ips, one important element of the application is its simple graphical interface, which lets users monitor traffic statistics in real time and so makes it readily available to technical and non-technical users alike. Using simple comparative views through updatable charts, it divides traffic into arriving and exiting streams. For reporting or closer inspection, these can be exported in PNG form. It also notes atypical traffic patterns that can cause security concerns or effective yet ineffective bandwidth usage.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

introduction, network traffic, analysis, protocols, real-time data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid proliferation of digital technologies in India has led to a significant increase in cyber crimes, disproportionately affecting women. These crimes encompass a range of offenses, including cyber stalking, online harassment, and the unauthorized dissemination of explicit content. Such activities not only violate women's privacy and dignity but also have profound psychological and societal repercussions. Despite the existence of legal frameworks like the Information Technology Act, 2000, and amendments to the Indian Penal Code, challenges persist in effectively addressing and mitigating these offenses. This article delves into the various types of cyber crimes targeting women in India, examines their impacts, and critically analyzes the existing legal mechanisms and their shortcomings. Furthermore, it proposes recommendations to strengthen legal responses and enhance the safety of women in the digital realm.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber crime, Women, Online harassment, Cyber stalking, Information Technology Act, Legal challenges, Cyber law.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Chenchus, the indigenous and primitive tribes of Nallamala region of Andhra Pradesh formed a rich cultural heritage through their unique way of life. They have exceptional cultural distinctiveness which is intimately tied up with forest ecosystem. The traditional occupation of Chenchus is hunting and gathering. They supplement their food with the flesh of forest animals they hunt. They collect seasonal forest products like wild fruits, roots, tubers, green leaves, gum, resin, mahua flowers, honey etc and after domestic consumption, they sell the surplus in local markets to get some additional income. At present, the Chenchu's are opting for agriculture and taking up other livelihoods due to restricted environment in the forests and the provision of alternate livelihoods by government and non government sectors to uplift their lives. In this context an attempt is taken up here to study about the livelihoods of Chenchus in Kurnool district.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chenchus, Livelihoods, Alternate livelihoods, Kurnool district.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Online reviews significantly influence consumer purchasing decisions. Customers come to depend increasingly on reviews when they pick a product to purchase. Yet, the effectiveness of reviews on the web is hindered by fraudulent reviews that create a misleading representation of the quality of the products. [1] Detection of such real reviews becomes imperative. Sadly, to date, automatic detection of them has been only partially successful in such a difficult task. This paper deals with the generation and detection of fake or genuine reviews. The presence of fake reviews undermines the credibility of genuine feedback. [1] Here a machine learning based solution to detect fake reviews using a linear regression model trained on text data represented with TF-IDF vectorization. A Flask -based web application interface allows users to check the authenticity of review in real -time. In the attempt to fill up the gap this survey paper discusses the fake review detection task and summarizes current datasets and their collection processes. [2] It discusses the existing feature extraction techniques. We also survey and critically traditional statistical machine learning and deep learning approaches. We also undertake a benchmark study to investigate the performance if unique previously unexplored neural network architectures and transformers in fake review detection. [2] Experimental results on two benchmark datasets look the all-model performance are boosted by 7% over existing state of the art approaches and achieve accuracy of 92% representing a future study baseline. Lastly, we explain the existing gap and future looking of study in this line of the research.[2]

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Spam review, fake review detection, linear regression, flask web app, machine learning, natural language processing, TF-IDF

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Sign Gloves project presents a wearable assistive technology designed to bridge the communication gap between individuals with speech or hearing impairments and the general public. This smart glove system utilizes an ESP32 microcontroller to capture and process hand gestures associated with sign language. Integrated with various sensors (such as flex sensors and accelerometers), the glove interprets the unique finger and hand positions corresponding to different signs. The recognized gestures are then mapped to pre-recorded voice outputs stored on the APR33A3 voice playback module, which delivers real-time audio responses. The ESP32, with its powerful processing capabilities and built-in wireless communication, ensures efficient gesture detection and smooth system operation. This project aims to provide an affordable, portable, and user-friendly solution for real-time sign-to-speech translation, enhancing communication accessibility for the hearing and speech impaired.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

flex sensors, ESP32, APR33A3 voice module, I2C LCD display.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aquaponics, an integrated food production system that combines aquaculture and hydroponics, is gaining global attention as a sustainable agricultural model. This review paper examines the role of equipment and intelligent control in enhancing the functionality, productivity, and scalability of aquaponic systems. Drawing on technical insights from the FAO and recent academic literature, the study categorizes core system components such as tanks, filtration units, grow beds, and circulation infrastructure, and investigates the integration of intelligent control systems, including sensors, automation platforms, and AI-based analytics. The paper also evaluates benefits such as resource efficiency, chemical-free production, and urban adaptability, while critically addressing challenges including high initial investment, technological complexity, and sensor reliability. Applications across educational, commercial, and humanitarian contexts are explored, alongside future prospects involving blockchain, modularity, and AI-driven predictive systems. The findings suggest that the future of aquaponics lies in the convergence of ecological principles with digital innovation, enabling a resilient and scalable solution for sustainable food systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aquaponics, Intelligent control systems, Sustainable agriculture, Automation, Internet of Things (IoT), Sensor networks, Artificial intelligence, Recirculating aquaculture, Hy-droponics integration, Smart farming, Renewable energy, Urban agriculture. I. INT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comparative study of Emotional Intelligence, Job Satisfaction and Happiness among School Physical Education Professionals of Meerut, Mujjafarnagar, Bulandshahr & Bijnor District of Western Uttar Pradesh has been studied for the objective of analysing variability in emotional intelligence, job satisfaction and happiness on different geographical location in similar nature of profession. emotional intelligence scale of Nahid Ashraf and Sajid Jamal, job satisfaction scale for teachers of Ms. Nidhi Madan and Dr. Umender Malik & Oxford Happiness scale of Michael Argyle and Peter was utilised to collect data from 120 higher education physical education professionals, those were selected from different Colleges/Universities of 4 randomly selected districts of western Uttar Pradesh. Results: Emotional Intelligence of Higher Education's Physical education professionals of Meerut and Muzaffarnagar district is greater than the Bijnor's and Bulandshahr's Higher Education's teachers. Whereas Emotional Intelligence of Bijnor's and Bulandshahr's Higher Education's Physical education professionals are almost same. Job satisfaction of higher education's Physical education professionals of Meerut district is greater than the Bijnor's, Bulandshahr's, and Muzaffarnagar's higher education teachers. Whereas, job satisfaction of Bulandshahr's and Muzaffarnagar's higher education's Physical education professionals was found almost same. Happiness of higher education Physical education professionals of Muzaffarnagar district is greater than the Bijnor's, Bulandshahr's and Meerut's higher education teachers. Whereas, happiness of Bulandshahr's and Meerut's higher education Physical education professionals was found almost same.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Intelligence, Job Satisfaction, Happiness, Higher Education

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Power failure is a short- or long-term loss of electric power to an area mostly cause by short circuit, damage to electric transmission line, overvoltage, faults at power stations and more commonly failure due to overloading. The possible damage areas are affected by losing power. The one inherent problem with standard power sharing and monitoring units is their broadcast strength.

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Creative Commons Attribution 4.0 and The Open Definition

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This can be done by operating another transformer in parallel with main transformer that is "Parallel operation of transformer". The project aims to demonstrate the protection of the transformer during overloading by sharing load on another transformer whenever load on the first transformer is increased for certain value. Further, it will also exhibit the sensing capacity of the circuit with respect to the overload current on transformer which will cut off the extra load.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The safety and cleanliness of natural water bodies have become pressing concerns due to increasing human activity and environmental degradation. Sudden and unmarked variations in water depth, often caused by soil erosion or sediment displacement, pose significant risks to swimmers, boaters, and local communities. Simultaneously, the accumulation of floating plastic waste in rivers and lakes disrupts aquatic ecosystems and contributes to long-term pollution. Addressing both these challenges, this paper presents the development of a low-cost, Arduino-based lake cleaning robot integrated with a depth detection system. The proposed robot operates on a floating platform equipped with an ultrasonic sonar sensor for real-time depth measurement and a Bluetooth module for wireless communication with a mobile application. The system alerts users about hazardous underwater dips, enhancing situational awareness and preventing potential accidents. Alongside its safety function, the robot features a waste collection mechanism comprising a physical net that captures floating debris as it moves through the water. Designed using open-source hardware and software, the robot supports both manual and semi-autonomous operation, offering flexibility for various deployment scenarios. The lightweight and modular design allows it to be customized for different terrains and operational scales. Field tests confirm the robot's effectiveness in measuring water depth with high precision and collecting a range of common surface waste, such as plastic wrappers and bottles. This dual-purpose robot represents a sustainable solution for communities seeking to improve aquatic safety and cleanliness. It holds potential for future enhancements like GPS integration, water quality monitoring, and solar-powered operation, paving the way for intelligent water resource management in both urban and rural settings.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Depth mapping, lake cleaning, sonar sensor, Arduino, mobile robot, environmental monitoring

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern software development heavily relies on rigorous code reviews to ensure code quality and security. However, manual reviews are time-consuming and prone to human error. This paper presents Codewise, an intelligent GitHub-based automation tool designed to streamline the code review process. Built using the Probot framework, Codewise integrates with external APIs for static code analysis, bug detection, and real-time feedback within GitHub pull requests. The system significantly reduces manual effort, enhances detection accuracy, and improves developer productivity. Preliminary evaluations indicate that Codewise accelerates the review cycle and improves overall code quality. Future enhancements include expanded API support, enhanced customization options, and improved scalability.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automated Code Review, Probot, GitHub, Static Code Analysis, Software Quality Assurance

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Creative Commons Attribution 4.0 and The Open Definition