This study presents the development of an AI-powered voice cloning detection system that addresses the growing threat of deepfake audio abuse in digital communications. The proposed system integrates advanced machine learning algorithms with spectro-temporal analysis to provide real-time, scalable detection of synthetic voice content. Unlike traditional audio forensics methods, our approach employs a hybrid CNN-RNN architecture combined with contrastive learning techniques to achieve superior detection accuracy across diverse speakers, accents, and synthesis methods. The system processes audio inputs through comprehensive feature extraction including MFCCs, spectrograms, and speaker embeddings, utilizing a multi-stage pipeline for robust classification. Preliminary analysis indicates that AI-driven voice cloning detection can achieve significantly higher accuracy rates compared to human listeners (>90% vs 60-70%) while maintaining real-time processing capabilities. The research contributes to bridging the gap between traditional audio forensics and modern deepfake-aware security systems through innovative feature fusion and adaptive learning mechanisms. The proposed architecture demonstrates potential for deployment in telecommunications, financial services, and media verification platforms where audio authenticity is critical.

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Admission is one of the most significant processes in colleges as it directly influences student intake and department distribution. Despite its importance, many institutions still depend on manual admission practices, which often result in duplication of records, communication delays, and lack of accountability. This traditional approach puts additional workload on staff and makes it difficult for principals and heads of departments (HODs) to monitor progress effectively. This paper presents TrackNEnroll, a student admission categorization system designed as an auto-synchronized platform combining a React-based web dashboard for principals and HODs with a React Native mobile application for staff. The system operates through a centralized database and backend API, ensuring that any update on the mobile app is instantly visible on the web dashboard through real-time synchronization. Students are automatically distributed to departments and staff, but the final allocation requires approval from both the principal and HOD, thus maintaining control while reducing manual effort. TrackNEnroll improves efficiency by simplifying student assignment, preventing data duplication, and creating a transparent workflow. The results demonstrate how automation with human supervision can enhance accountability, save time, and ensure smoother academic operations.

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Energy theft is a big problem that leads to financial losses and weakens the stability of power distribution systems. Traditional ways of detecting theft often don't work well against modern methods like tampering with meters or making illegal connections. To solve this, our work suggests using Artificial Intelligence (AI) and the Internet of Things (IoT). Smart meters and IoT sensors can collect electricity usage data in real time, and machine learning can then analyze this data to spot unusual patterns and possible theft. This system makes theft detection more accurate, allows real-time monitoring, and provides a scalable and affordable way to improve energy security and support sustainable power distribution.

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Augmented Reality (AR) is revolutionizing the face of e-commerce by enabling interactive, real-time, and immersive experiences that drive greater customer engagement and decision-making. Conventional online shopping websites use static images, video, and text descriptions, which do not fully represent the real appearance, size, and usability of products. Consequently, customers are often left with dissatisfaction and high return rates, resulting in higher operation costs for enterprises. AR fills this gap by allowing virtual try-ons, 3D visualization of products, and spatial product placement, enabling customers to engage with digital copies of products prior to purchase. A number of international retailers, including IKEA, Sephora, Nike, and Amazon, have successfully incorporated AR into their websites, leading to higher conversion rates, improved user experience, and lower return rates. Research indicates that 71% of consumers are more inclined toward retailers who provide AR shopping experiences, and 40% increased engagement on AR-enabled e-commerce sites versus traditional sites. But even with such benefits, e-commerce AR has major challenges ahead. These challenges include the cost of implementation being high, the compatibility of the device, privacy issues with data, and the hesitation of consumers to use new technology. This research paper will seek to investigate the influence of AR on e-commerce, its technological development, advantages, disadvantages, and future directions. Based on an extensive review of case studies, industry research, and statistical findings, we will analyze how AR is transforming online shopping experiences and affecting consumer behavior. We will also address the prospects of AI-powered AR personalization, AR-enabled virtual storefronts, and WebAR (browser-based AR) solutions in bringing AR within reach of businesses of any size.

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This study presents a comprehensive comparative analysis of waffle slab and flat slab floor systems for multi-story building construction, evaluating structural performance, economic feasibility, and environmental sustainability. The investigation examines key performance indicators including structural efficiency, material consumption, construction costs, embodied carbon emissions, and constructability for both systems across varying span lengths (6m to 10m) and building heights. Waffle slabs, characterized by their ribbed cofferboard configuration with reduced dead weight, demonstrate superior structural efficiency for longer spans (>7.5m) through optimized material distribution. The system achieves material savings of 20-30% compared to flat slabs while maintaining equivalent load-carrying capacity. However, this advantage is offset by increased formwork complexity, extended construction duration, and specialized labor requirements, resulting in 15-25% higher overall construction costs. Flat slab systems offer significant advantages in construction speed, architectural flexibility, and reduced story height, enabling potential savings in building envelope and vertical transportation costs. The beamless configuration facilitates simplified formwork, faster construction cycles, and enhanced spatial adaptability for varied occupancy requirements. For shorter spans (<7m), flat slabs prove more economical despite higher material volumes. Life cycle assessment reveals that waffle slabs generate 5-12% lower embodied CO₂ emissions due to reduced concrete consumption, though this environmental benefit diminishes when accounting for additional formwork materials and extended construction energy use. Serviceability analysis indicates that waffle slabs provide superior vibration control and deflection performance, critical considerations for residential and office applications. The study concludes that optimal system selection depends on project-specific parameters including span configuration, building height, functional requirements, and sustainability priorities. Waffle slabs are recommended for longer-span applications prioritizing material efficiency and vibration control, while flat slabs suit projects emphasizing construction speed, architectural flexibility, and moderate span requirements. A decision matrix framework is presented to guide structural designers in system selection based on weighted performance criteria.

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The study investigates the impact of incorporating dairy sludge, construction waste, and fly ash into brick manufacturing, focusing on their effects on compressive strength, production efficiency, and material properties. In our study finds that integrating dairy sludge into the clay body decreases compressive strength, with a maximum allowable addition of 5% to meet Class 10 IS: 1077 standards. Fly ash, particularly Class F with its low calcium oxide content, reduces the firing temperature required for brick production, resulting in energy savings and enhanced sustainability. Bricks incorporating these additives are lighter, leading to lower transportation and labour costs. X-ray diffraction (XRD) results reveal varying microstructures for bricks fired at 900°C with different additive ratios, while Scanning Electron Microscopy (SEM) shows more cohesive microstructures with higher additive content. Notably, bricks made from an 85% clay and 15% fly ash mixture, fired at 900°C, exhibit improved compressive strength (18.12 N/mm²) and reduced clay usage by up to 15%, highlighting their enhanced performance and cost-effectiveness compared to traditional bricks.

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The rapid and continuous rise in road traffic worldwide has created substantial challenges for infrastructure development and maintenance. Forecasts indicate that this upward trend will persist in the foreseeable future. Even in developed nations, insufficient funding often hampers the construction of new infrastructure and the upkeep of existing road networks. The situation is considerably more critical in developing countries such as India, where limited resources and increasing vehicular loads have led to the accelerated deterioration of pavement systems. Consequently, a large proportion of bituminous pavements now exhibit serious forms of distress, including rutting, shoving, and cracking, necessitating timely rehabilitation or structural strengthening. These interventions require heavy expenditure and extensive use of scarce materials such as bitumen and aggregates. To address these challenges, the cost-effectiveness of Portland Cement Concrete (PCC) overlays, as an alternative to conventional bituminous overlays, must be critically examined. Pavement Quality Concrete (PQC) roads have been observed to provide a longer service life of approximately 20–30 years while maintaining economic efficiency. In accordance with IRC specifications, PQC is produced using coarse aggregates and placed over a Dry Lean Concrete (DLC) sub-base, making it particularly suitable for highway and airfield pavements designed to endure heavy loading conditions.

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