All of the articles in this proceedings volume have been presented at the International Conference on Recent Advances in Computing Sciences – RACS-2025 during [25-04-2025 – 26-04-2025] in [Lovely Professional University, Phagwara, Punjab, India - 144411]. These articles have been peer reviewed by the...

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that affects both motor function and cognitive ability, leading to symptoms such as tremors, rigidity, bradykinesia, and cognitive decline. Early and accurate diagnosis is essential for effective intervention and to slow disease progression....

Agriculture is confronted with major challenges in choosing the most appropriate crops to be cultivated, as soil quality, climate fluctuation, and inefficient management of resources tend to result in low yields. To overcome this, we suggest a Machine Learning-based Crop Recommendation System that utilizes...

Cloud computing has transformed the world of digital transformation, but with its accelerated pace, the model has exposed severe security concerns that include access violations, data theft, and insider threats. Traditional security models based on perimeters have proven inadequate in safeguarding cloud...

Distributed Denial-of-Service (DDoS) attacks have remained a serious and increasing threat in networked environments. The threat posed by DDoS attacks is further compounded by the evolving nature of network infrastructures. The current paper proposes a model for the detection of DDoS attacks using a...

The growing development of fashion e-commerce has presented challenges related to product discovery, customer engagement and personalized recommendations. This paper presents an AI-Driven Shopping Assistant that will use Natural Language Processing (NLP) and Recommendation Systems which will make the...

Due to the modern world’s development, protecting sensitive information from sophisticated threats such as data exfiltration has emerged as a critical concern. This paper presents GATE-X (Graph and Transformer-based Exfiltration Detection), a novel algorithm for the proactive detection of potential data...

The energy optimization of cloud environments poses a crucial challenge due to the rising demand for cloud computing services and environmental concerns. Promising tools toward improving the energy efficiency in cloud data centers are ML and AI. This paper explores a number of ML and AI-based approaches...

This paper aims to develop an advanced prosthetic arm control system using object detection technology to enhance user engagement and functionality. The technology uses a camera module to take real-time images of the user’s environment. The Raspberry Pi microprocessor interprets these images through...

The Internet of Robotic Things (IoRT) is an anticipated integration of robotic systems with interconnected communications that enable independent and intelligent exchange in multiple domains. Such interconnectivity, however, also has serious concerns related to cybersecurity, necessitating advanced approaches...

Instagram and YouTube are presently trending with short video content, as much as with the Reels and Shorts that draw engagement. Influencer marketing and live streaming are still hot in this space. On the downside, they have also seen a spike in crimes, including phishing, malware distribution, and...

Learning in an educational setting is hindered greatly by distractions, which have a dramatic effect on a student’s success and participation in educational institutions. In this study, we categorized classroom distractions into six main types, e.g., auditory, visual, digital, external, behavioral, and...

Both natural catastrophes and human-created emergencies introduce significant operational disruptions across technological systems. Within information security frameworks, disaster recovery technologies play a vital role in safeguarding data during crisis events. These frameworks encompass diverse methodological...

Modern investigations heavily depend on digital forensics since investigators need to analyze metadata along with file integrity and hidden content in their work. The implementation of XFS and Btrfs file systems alongside journaling and copy-on-write features creates difficulties for the recovery and...

In today’s world an individual often faces time shortage while planning or booking an event. The process of searching and choosing the event is time consuming and overwhelming. Customers generally check many websites while considering the requirements and then only decide to book the event. In this situation...

The advent of advanced deepfake technology, driven by DL breakthroughs, is threatening privacy of individuals, social trust, and national security. Deepfakes are super-realistic fake media created using algorithms such as Generative Adversarial Networks (GANs) and autoencoders that can convincingly reproduce...

On a worldwide scale, the combination of information technology (IT) and artificial intelligence (AI) is changing the criminal justice system and law enforcement. Digital technology and AI-driven solutions offer great promise for enhancing public safety, crime prevention, and investigation in Jammu and...

Indoor scene classification concerns a paramount task in computer vision: categorizing an indoor environment like a kitchen or office into predefined classes. In its application, this paper uses a mixed model of RCNN and YOLOv11 to address its greatest challenges: complex layouts and diversity in lighting...

In a time where consumers require authenticity and social responsibility from companies, incorporating Diversity, Equity and Inclusion (DEI) into marketing initiatives is an important success driver. This paper explores how DEI affects customer participation and brand loyalty, highlighting how it can...

The intersection of Artificial Intelligence, Machine Learning and Data Analytics is revolutionizing education by fostering sustainability, equity and personalized learning. This paper reviews the latest AI-driven innovations that enhance learning experiences, optimize resources and reinforce inclusiveness...

Coastal regions are facing severe risks, with projections indicating that by 2100, we can expect a 77.88 cm sea-level rise. Though the state of Tamil Nadu has implemented several housing initiatives, there are still challenges like inadequate infrastructure and livelihood disruptions. Here, artificial...

The gesture-controlled robotic hand is designed for natural Human-Robot Interaction (HRI) using real-time hand gesture recognition. This aims to provide an intuitive, touchless interface using finger tracking. The proposed system integrates computer vision and embedded systems. Real-time hand gestures...

There are sixty million people who have diabetes in the world today, and they all have a condition that if left untreated can eventually cause blind ness, kidney failure and other cardiac diseases. In predicting diabetes, this study undertakes a comparative analysis of the different machine learning...

Dengue fever is a serious health issue worldwide that is particularly common in warm climates. The diagnosis is based on the identification of symptoms such as fever, headache, joint pain, and rash, which are verified by laboratory testing. Dengue cases are frequently underreported, according to studies...

This study examines the impact of the Geotagged Facial Recognition Attendance System on schools in Jammu and Kashmir’s Department of School Education. Using a mixed-method approach, attendance data collected from 383 employees was analyzed alongside qualitative surveys. Results show improved punctuality...

This study investigates the potential of machine unlearning as a countermeasure to Membership Inference Attacks (MIAs), which are a class of attacks that compromise data privacy by ascertaining whether certain data points were utilized in the training of a model. Machine unlearning lets models “forget”...

This paper aims to develop an advanced prosthetic arm control system using object detection technology to enhance user engagement and functionality. The technology uses a camera module to take real-time images of the user’s environment. The Raspberry Pi microprocessor interprets these images through...