Floods and Landslides are among the most devastating natural disasters, causing significant loss of life, damage to infrastructure, and disruption of livelihoods. With climate change, rapid urbanization, and environmental degradation, the frequency and intensity of these disasters have increased globally. Effective prediction and early warning systems are critical in mitigating their impacts and improving disaster preparedness. This work proposes a Machine Learning- based approach for flood and landslide prediction by analyzing environmental factors such as monsoon intensity, deforestation levels, urbanization, topographical changes, and climatic variations. The dataset utilized for this work includes multiple influencing parameters. Various Machine Learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), K-Nearest Neighbours (KNN), Naïve Bayes, Ridge Regression, XGBoost, and Gradient Boosting, are employed to predict flood and landslide probabilities. The predictive Modeling process begins with feature selection, where significant environmental variables contributing to floods and landslides are identified. Data preprocessing techniques such as Normalization and Standardization are applied to improve model efficiency. Several performance metrics, including Accuracy, Precision, Recall, F1-score, and RMSE, are used to assess model effectiveness. Results from the study indicate that Logistic Regression performs best in classifying flood-prone areas, achieving a good accuracy. Similarly, Ridge Regression and Gradient Boosting models are effective in estimating the severity of landslides.

Keywords : SVM, K- Nearest Neighbors (KNN), Naïve Bayes, Ridge Regression, XGBoost, and Gradient Boosting

Authors : P GangadharaReddy , J Pradeep , P Naga Subba Rayudu , T Ramashri

Title : Flood and Landslide Prediction Using AI and Ensemble Machine Learning Models

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 54 - 59

India has seen rapid growth in the digital payments industry, with more and more people using digital payment methods such as mobile wallets and online banking. However, this growth has also led to an increase in cyberthreats. With the rise of cybercrime and the increasing amount of sensitive data being stored online, businesses need to protect themselves from potential financial losses and reputational damage. No wonder why cyber security insurance is becoming increasingly important for digital payments businesses in India. In the present paper, we will explore the importance of cyber security insurance for digital payments businesses and the benefits it can provide.

Keywords : Cyber Security Insurance, Cybercrimes, Digital Payments.

Authors : K Kedar Gawrav , G L Meenaz , R Vasanthselvakumar

Title : A Conceptual Overview of Cyber Insurance in India

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 37 - 40

Transmission technology has advanced dramatically in the automobile industry, with dual-clutch transmissions (DCTs) emerging as a notable breakthrough in recent years. Due to its unique design and performance qualities, the "Dry Dual- Clutch Transmission" has gained significant interest among DCT versions. Dry dual-clutch transmissions are a form of automated manual gearbox that differs from wet clutch transmissions in that they employ friction clutches rather than an oil bath for cooling. This design decision has numerous noticeable advantages, including increased fuel efficiency, less power loss, and greater responsiveness. Rapid gear changes, fluid power delivery, and the flexibility to preselect ratios are all advantages of dry dual-clutch gearboxes, all of which contribute to a smoother and more enjoyable driving experience. Furthermore, these gearboxes are frequently lighter and more compact, allowing for better vehicle packaging and contributing to overall vehicle weight reduction. Finally, dry dual-clutch gearboxes are a substantial advancement in vehicle transmission technology, providing improved efficiency, performance, and driver involvement. While addressing heat management challenges requires careful engineering, adequate thermal management solutions are critical to preserving long-term durability and performance.

Keywords : Dry Dual-Clutch Transmission, Friction Clutches, Fuel Efficiency, Rapid Gear Shifting, Thermal Management

Authors : Sathuic Sivan , S Christopher Ezhil Singh , P Sridharan , Shamin Muth K K , T Mary Little Flower , S Jerril Gilda

Title : Revolutionizing Automotive Performance: Exploring the Benefits and Mechanics of Dry Dual Clutch Transmission System

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 48 - 53

Recent technology breakthroughs have created new opportunities for researching the ocean in ways never seen before. Underwater robotics will be covered in this presentation, covering remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) with advanced sensors and manipulators. These robots assist us in overcoming problems like as severe pressure, darkness, and harsh conditions in the deep ocean. They've granted us access to remote and undiscovered ocean places, which is the focus of our seminar: underwater exploration .The event addresses a wide range of applications, including deep-sea exploration and marine archaeology, as well as environmental monitoring and assistance for sectors such as oil and gas. Technological difficulties like as propulsion systems, communication protocols, and operational obstacles that are vital to the robots' smooth functioning are also discussed. The importance of collaboration among marine biologists, geologists, engineers, and computer scientists will be emphasized. This partnership adds to our understanding of the ocean's intricate ecosystems.

Keywords : Underwater robotics, ROVs and AUVs, deep-sea exploration, advanced sensors, marine applications.

Authors : Srikiran C M , Sreekanth M P , T Mary Little Flower , S Christopher Ezhil Singh , P Sridharan , S Jerril Gilda

Title : Robotic Innovations Revolutionizing Exploration of Earth's Oceanic Depths

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 41 - 47

Artificial Intelligence (AI) is transforming financial markets by enhancing trading efficiency, risk assessment, and fraud detection. However, AI's integration also introduces systemic risks such as market volatility, algorithmic bias, and cybersecurity threats. This study examines AI’s dual role in financial stability, applying an ANOVA test to analyze variations in financial market performance due to AI-driven trading strategies. Our findings highlight AI’s potential in financial inclusion and risk mitigation while emphasizing the need for regulatory oversight to ensure responsible AI deployment.

Keywords : AI, Financial Markets, ANOVA Test, Market Volatility, Credit Scoring, Algorithmic Bias, Cybersecurity.

Authors : G C Venkataiah , Sanath Bhaskar

Title : The Role of Artificial Intelligence in Financial Market Stability: Opportunities and Risks

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 35 - 36

The expanding incorporation of speech and audio data in numerous applications is heavily dependent on Machine Learning (ML) and Artificial Intelligence (AI). The complexity of audio data analysis in machine learning stems from noise and variability, necessitating preprocessing and feature extraction techniques. These features enable machine learning algorithms to identify and recognize audio patterns. This study provides an overview of audio data processing and deep learning techniques used for emotion detection. This research presents a machine learning model for emotion detection, describes the model in detail, and explores anticipated results and potential avenues for further investigation.

Keywords : Audio data processing, Deep learning, emotion classification, machine learning, speech recognition.

Authors : Boggadi Nagarjuna Reddy

Title : Survey on Emotion Detection via Audio Processing and Deep Learning

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 30 - 34

Image stitching is a dynamic and evolving area that merges multiple photos of the same subject to create a seamless, high-resolution panoramic image. It is a crucial component of computer vision as well as computer graphics. This paper focuses on the feature-based paradigm, which is useful for finding prominent features in images in order to create meaningful correspondences. This approach leverages advanced algorithms such as SURF (Speeded-Up Robust Features) and RANSAC (Random Sample Consensus) to detect key points and estimate geometric transformations between image pairs, respectively. By combining the feature-based method with the SURF and RANSAC algorithms in a strategic way, picture stitching systems can handle issues with viewpoint, scale, and content variations and produce an intuitive mix of panoramic imagery.

Keywords : Speeded-Up Robust Features, Random Sample Consensus, Geometric transformations, Open CV.

Authors : P. Hemanth Kumar , G. Mani

Title : Scale-Adaptive Feature Extraction Using OpenCV

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 26 - 29

In a rapidly evolving digital landscape, the construction industry is witnessing a paradigm shift towards online platforms. This application is poised to be a pioneering mobile application designed to streamline and revolutionize the procurement of construction materials. This app aims to connect construction professionals, contractors, and individuals with a user-friendly platform that facilitates the seamless purchase of a wide range of construction materials. This app seeks to reshape the way construction materials are sourced, making the process more convenient, cost-effective, and collaborative. The application boosts the store owners' capacity to present comprehensive details of each product and manage orders seamlessly, irrespective of the quantity of materials requested. Furthermore, the research tackles the recognized challenge of conventional methods in procuring product materials, encompassing the hurdles of locating construction materials, compiling product lists, comparing prices, and seeking product details.

Keywords : Construction industry, Procurement, Construction Materials, Cost Effective, Quantity, Streamline

Authors : A . Vanaja , G. Mani

Title : A Multi-platform Application for Ordering of Building Materials

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 22 - 25

The inability to communicate effectively because of communication barriers severely restricts deaf and mute individuals from getting in touch with those who do not understand sign language. A new web-based system has been developed to provide an effortless communication solution between users who are deaf, mute and sign language users. The system implements Django as its backend framework together with text-to-sign language conversion and speech-totext capabilities to establish successful communication. Through the application users have the option to provide text or audio content that gets translated into American Sign Language (ASL) animations through hand gesture visualization from MediaPipe. The system enables automatic speech recognition through the SpeechRecognition library and functions as an ASR tool to convert spoken words into text. The Google Translator API enables native language translation of this recorded text which expands communication possibilities to different user groups. From datasets obtained through Kaggle the training of a Convolutional Neural Network (CNN) model reaches 99% accuracy for sign recognition leading to accurate communication. The application creates a user-friendly interface which enables people with speech and hearing difficulties to get real-time sign language animations as visual outputs. The novel system surpasses typical assistive communication solutions because it cuts out the requirement for human sign language interpreters to provide inclusive communication channels. This proposed web application will increase accessible interactions thus promoting more social integration opportunities for both deaf and mute users. The system will be improved through language expansion of sign language interpretation and a mobile app adaptation for maximized accessibility.The system incorporates components related to Communication accessibility, sign language recognition, speech-to-text, ASL animation and employs CNN models in conjunction with Django framework,

Keywords : Media Pipe, Automatic Speech Recognition, Google Translator API , Web-Based Assistive.

Authors : Konda Hari Krishna , B. Suchitha , B. Pravallika , E. Deepika , G. Jaahnavi

Title : Empowering Communication: A Web Application for Deaf, Mute, and Sign Language Interpretation

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 15 - 21

Encryption makes it possible to send private information via unprotected channels without worrying about data loss or modification by unauthorized parties. For data security in various contexts, many encryption algorithms have developed throughout time. This paper focuses on symmetric encryption, often used for key exchange due to its large key size. In the context of data centers and cloud computing, security is paramount. This paper proposes a quantum computing algorithm for encrypting cloud data. This combination leverages quantum computing's rapid complex computations. The quantum computing algorithm offers fast, efficient, and secure data protection in cloud environments, reducing computational power requirements while enhancing overall efficiency. Moreover, it addresses the limitations of traditional encryption methods and provides a scalable solution for large-scale data encryption. By integrating quantum computing, we can achieve unprecedented levels of security and performance. The potential impact of this approach could revolutionize data protection standards in the cloud industry.

Keywords : Encryption, Sensitive Data, Insecure Channels, Data Loss, Large-Scale Data Encryption, Cloud Industry.

Authors : V Sujana , N Bindu Madhavi

Title : Advancing Cloud Data Protection with Secure Cryptographic Algorithms

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 8-14

In present times, there is a great need for self-development to make a person adapt to the present changing world. This makes a person to efficiently maintain intra-personal relation, inter-personal relations and relations with kith and kin. Self-Development makes an individual complete in all aspects. Numerous methods are developed for self-development like Spirituality, Time Management, Emotional Intelligence, Counselling and facilitation techniques, interpersonal relations and like. Of all these the growing need is for spirituality- which is in existence from a very long time. Spirituality helps in the development of character, creativity, behaviour, personality, human values, self-discipline, self-control and emotional balance of an individual and also for the change in the society as a whole. A need is emphasised to nurture the spiritual thoughts and practices from the age of adolescence. This conceptual paper discloses how the components of spirituality reinforce the upliftment of one’s self-development.

Keywords : Self-development, spirituality, intra-personal relation, inter-personal relations, leadership, stress reduction.

Authors : V R Ramakrishna , T Bala Bharathi

Title : Role of Spirituality in Self-Development : A Conceptual Study

Volume/Issue : 2025;2(2 ( April - June ))

Page No : 1 - 7