All of the articles in this proceedings volume have been presented at the International Conference on Responsible, Risk-Aware and Regulated Artificial Intelligence (RRRAI-2026) during 3-4th April 2026 in Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune These articles have been...

Predicting road accidents is a significant part of Intelligent Transportation Systems (ITS), especially in areas where there is a high volume of traffic and varying environmental conditions. Most of the current prediction models for road accidents are based on historical data regarding road accidents...

EVALPRO is a platform that helps with the hiring process. It does this by simulating the process of finding and hiring someone. This includes testing how smart someone is, how good they are at their job and how well they do in interviews with people from the company and with the human resources department....

Nowadays, Health-care Environment has evolved science and know-how based on Wireless-Sensing node Technology focused upon. That is for particularly taking care of old-age patients and alerting the doctors, as well as their near ones [1][2]. Mostly, researchers are working efficiently for the growth of...

AI is also widely changing the growth patterns, systems of governance, and social development in the emerging economies quickly as it becomes one of the most transformative forces endorsed by the emergent economies. Although initial adoption of AI was heavily concentrated amongst the developed economies...

Sign language is a vital component of daily life for deaf and mute people who utilize it as a form of communication. Even in those nations where it is accepted as one of the official languages, there are few solutions available in today’s world to make the interactions fluid and straightforward. The...

Solar cells are not very efficient when dirty or polluted. Manual cleaning is labour-intensive and dangerous for large- or roof-mounted systems, and most of the automated systems are not able to be controlled remotely. This paper discusses the construction and testing of a Wi-Fi controlled Solar Panel...

In the past few years, the government and other institutions across the world are keen on seeking a voting system that is secure, transparent and decentralized. With increasing cases of election frauds, cyberattack vulnerability and the lack of trust by voters towards the conventional and highly centralized...

In this paper, we present and test predictive models that are specifically targeted at malicious clicks in order to solve the problem of cybercrime, which has become a widespread problem among social media users. Using a number of individual features like the behavior of the user, device used, social...

Rapid digitization in India has exposed inefficiencies arising from the separation of rural and urban property records, leading to delays in ownership verification, loan processing, and legal authentication. This paper presents AssetGuru, a unified digital platform that integrates geospatial technologies,...

The rapid proliferation of generative artificial intelligence has fundamentally transformed the threat landscape of online social platforms, enabling adversaries to fabricate convincing fake profiles through synthetic face generation, automated text production, and coordinated inauthentic behaviour at...

In today’s world or we can say in this era world is rapidly growing with new inventions and technologies like artificial intelligence or machine learning. With these increasing technologies there is also rise is digital financial crimes which creates a new risk for traditional forensic accounting in...

The cornerstone of effective patient care is an accurate and, even more importantly, timely diagnosis. There is a growing body of evidence which shows more and more the truth of the statement that the combination of different data sources—clinical narratives, laboratory assays, and imaging—produces better...

Recently, a new standardized interface called the Model Context Protocol (MCP) has been established which allows reliable interfacing of large language models (LLMs) with the tools and external resources. Due to its structured architecture, it can be analogously termed to system calls in operating systems,...

Online review platforms are increasingly targeted by coordinated fraud campaigns that distort ratings and mislead consumers. Existing fake-review detectors often rely on either content signals or static behavioural features, which can underperform when spammers camouflage writing style and manipulate...

In developing countries like India infrastructure and other public issues which are directly related to the country growth are most prominent and should not delayed. These issues such as potholes, garbage accumulation, water leakage, fire etc requires quick attention of authorities to get resolved. General...

This study seeks to examine a new advertisement recommendation system that is brainwave powered. The architecture is based on the Emotive Insight technology, Brain-Computer Interface (BCI) and Artificial Intelligence (AI) elements. The main goal is to improve marketing prescriptions based on neural activities...

The delays and congestions that are witnessed in the urban intersections are becoming a serious impediment to the prompt movement of emergency vehicles. On the one hand, the traditional traffic lights are founded on the recipes of time tables that also limit their flexibility to dynamism in the traffic...

Leaf pathologies and nutrient deficiencies have a strong influence on the cultivation of Citrus limon (lemon) and decrease the yield and quality. The paper proposes the decision support system, which utilizes deep learning to detect and recommend fertilizers and diseases automatically. Convolutional...

Any form of floating debris in our waterways within rivers, lakes and reservoirs is an increasing environmental concern that has vast ecological and social economic consequences. We have witnessed recent advances in remote sensing and artificial intelligence that offers us the opportunity of automatic...

In recent years, intellectual fitness troubles including stress, anxiety, and despair have ended up more and more normal among college students and professionals. Regular journaling and emotional expression had been validated to enhance self-recognition and enhance mental well-being, yet conventional...

This paper presents KalaHeart, an AI-enabled multilingual digital marketplace designed to support local artisans by improving the visibility and accessibility of the product in the digital market. This platform has features such as personalized recommendations, automated content generation, and multilingual...

According to global health research more than 2.2 bilion people worldwide are affected by visually impairement or blindness, highlighting the growing need for intelligent assistive technology. Visually impaired individuals often struggle with perceiving their surroundings, recognizing people, and recalling...

There is an increasing need for improving plant health against pathogenic degradation in the potato crop and preventing morphological degradation of Potato plants. In this paper, the exploration of the integration of Deep Convolution Neural Network models for the segmentation and severity estimation...

The unanticipated advancement of the Internet of Things (IoT) has provided worries concerning secrecy of evidence, user’s exclusivity, and truth of devices inhibited. This paper provides a human-centric, blockchain-sharded MQTT solution to ensure security of human IoT communications and maintain its...

The contemporary labor market is quickly changing because of cogs going digital and moving the industrial demands. This paper introduces a com binned machine learning model integrating job risk forecasting and individualized career guidance. The system evaluates a user’s risk of job loss by analyzing...

Due to the extensive use of electronic equipment on educational campuses (fans, lighting, and HVAC in labs and classrooms) energy management on educational campuses has become a very significant issue today. Everyday, many devices (lighting, HVAC and other electrical systems) are left unattended when...

Multi-focus image fusion creates one clear image from multiple input images taken at different focal settings. Traditional techniques typically rely on manually crafted sharpness measures or frequency transforms, often producing blocking artifacts and struggling with complex textures. This paper presents...

Multi-focus image fusion (MFIF) aims to synthesize the all-in-focus image from partially focused inputs, yet preserving fine details under non-uniform focus remains challenging. We present AMFFNet (Attentive Multi-Focus Fusion Network), a hybrid approach that combines frequency-domain analysis with deep...

Stroke has remained among the top contributors to mortality and chronic disability over the past few years. The prediction of the likelihood of patients having strokes has remained a challenge despite the development of risk scores, statistical models, and machine learning algorithms, due to the limitations...

The Cloud-SAP framework employs a layered autonomic computing strategy to retain Quality of Service (QoS) of tenant applications in heterogeneous and distributed cloud environments. Cloud computing uses a layered architecture composed of five levels: first, execution environment controllers...

This study provides a new explainable framework for handwriting-based classification of Parkinson’s disease with five domain-specific markers; (Tremor power Score (TPS), Air-Writing Complexity Index (AWCI), Pressure Instability Coefficient (PIC), Stroke Irregularity Ratio (SIR) and Micro-Motion Variance...

Ear biometrics offers a reliable means of personal identification, as the shape of the ear remains largely stable across a person’s lifetime and is unaffected by facial expressions. However, existing deep neural network methods for ear recognition perform poorly in unconstrained, real-world conditions....

The rapid proliferation of artificial intelligence systems across critical societal domains has intensified concerns about their ethical, social, and technical implications. This comprehensive review synthesizes recent scholarly literature on Responsible Artificial Intelligence (RAI), examining the multidimensional...

These computer systems, which are mainly involved in a great deal of data processing, are becoming an everyday system applicable in hospitals, banks, and governmental offices for assistance in day-to-day decision-making. As much as these systems can be useful in their operations, issues arise when guidelines...

This research aims to develop a system which is used to identify the concrete cube failure mode as acceptable or non acceptable. In the given system we have used image processing algorithm to detect the cracks on concrete cube and machine learning algorithms like YOLO version 10 for image cropping, an-note...

The fileless malware has become a very elusive cyber threat, which uses genuine parts of the operating system to perform malicious functions directly in the memory without leaving the slightest trace in the form of a file. Such attacks are frequently not detected by traditional malware detection mechanisms...

Massive multiple-input multiple-output (MIMO) is one of the key technologies behind sixth-generation (6G) wireless systems, but its performance is limited by channel estimation errors that are particularly pronounced in high mobility and sub-THz operating regimes. Towards improving channel state information...

Machine learning has become a widely used approach for malware detection due to its strong performance on benchmark datasets. However, in real-world environments malware continuously evolves through the emergence of new malware families, obfuscation techniques, and behavioural modifications, which cause...

The complex modern malware cannot be recognised by a typical detection system signature based detection and single layer analysis detection will not be able to work. This paper suggests a hybrid malware detection model that statically extracts and employs multiple types of features, such as printable...

Digital footprints are the large amounts of user-specific digital traces that have built up because so many people use online services and third-party analytics. Companies can follow users across sites and make behavioural profiles using these traces, which include cookies, persistent web storage artifacts,...

The manual procedures of screening the resumes, sifting the applicants, and reviewing the outcome of the interview process in most organizations remain a part of the recruitment processes, thus making the process to be slower, less consistent and fair. To solve these issues, this paper will offer a solution,...

Menstrual health tracking is a significant aspect of digital health, and women use various apps for menstrual cycle prediction. However, these apps do not provide accurate prediction and analytics [2]. To solve this problem, a web-based platform named CycleCare is developed. This platform uses various...

The recent developments in the field of technologies like IoT and the decrease in prices of different sensors have led to the promotion of intelligent environments, like smart homes system. Smart homes should provide automated home-based support services to enhance inhabitants’ quality of life, independence,...

The rise of smart home tech and automation has seen great growth in the interest of service robots which in turn perform everyday home tasks. Among the most common is indoor cleaning which we do for great lengths of time and puts great physical strain. With the introduction of robotics, embedded systems...

Brain stroke is one of the major causes of death and disability, and this is mainly because of delayed diagnosis and restricted early opportunity evaluation. In conventional diagnosis, tools such as CT scans and MRI are used to detect stroke occurrence only after it has happened. Prediction models are...