Volume 13 | Issue 6 |

 Abstract

The rapid global transition to renewable energy sources has highlighted the need for efficient and intelligent monitoring systems for solar power generation. This project presents an AI-based Solar Electrical Power Monitoring System designed to enhance the performance, reliability, and predictive capabilities of solar photovoltaic (PV) installations. The system integrates IoT-enabled sensors to collect real-time data on electrical output, irradiance, temperature, and other environmental parameters. Artificial intelligence algorithms, including machine learning and deep learning models, are employed to forecast solar energy production, detect anomalies, and optimize energy usage. By utilizing tools such as TensorFlow, Scikit-learn, and cloud platforms like AWS or Google Cloud, the system offers automated analytics, predictive maintenance alerts, and intelligent load balancing. Visualization tools like Grafana and Blynk provide intuitive dashboards for users to monitor performance remotely. This approach not only improves operational efficiency and reduces downtime but also supports smart grid integration and sustainable energy management. The proposed system demonstrates the potential of AI in transforming conventional solar power systems into smart, adaptive, and self-optimizing energy networks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Energy, Photovoltaic (PV) System, Electrical Power Monitoring, Artificial Intelligence (AI), Machine Learning (ML), Predictive Maintenance, Anomaly Detection, Solar Forecasting, Internet of Things (IoT), Smart Grid, Renewable Energy, Energy Optimization, Deep Learning, Real-Time Monitoring, Energy Management System (EMS), Data Analytics, Edge Computing, LSTM Neural Network, Cloud Computing, Visualization Dashboard.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study focuses on the formulation and evaluation of dispersible tablets of Cefixime Trihydrate, a third-generation cephalosporin antibiotic widely used to treat various bacterial infections. The primary objective was to develop a patient-friendly dosage form with improved compliance, particularly for pediatric and geriatric populations who experience difficulty swallowing conventional tablets. Dispersible tablets were formulated using direct compression method, incorporating suitable superdisintegrants such as crospovidone, sodium starch glycolate, and croscarmellose sodium in varying concentrations. The prepared formulations were evaluated for pre-compression parameters including angle of repose, bulk density, and compressibility index, as well as post-compression parameters like weight variation, hardness, friability, disintegration time, wetting time, drug content, and in vitro dissolution. Among the various formulations, the batch containing crospovidone at 4% w/w demonstrated the best performance, with rapid disintegration (under 60 seconds), optimal mechanical strength, and over 95% drug release within 30 minutes. The study concludes that a stable, effective, and patient-compliant dispersible tablet of Cefixime Trihydrate can be successfully developed using appropriate formulation strategies and excipients.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dispersible Tablet, Cefixime Trihydrate, Direct Compression Method, Central Composite Design.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The swift development and implementation of Artificial Intelligence (AI) in key areas like healthcare, finance, and governance have increased the demand for frameworks to guarantee ethical, equitable, and responsible AI systems. Responsible AI (RAI) has been a transdisciplinary approach that seeks to harmonize AI development with human values, the law, and societal aspirations. The following is a thorough review of recent studies (2023-2025), international policy developments, and practices within industry on RAI. This systematically examines new standards, such as IEEE 7000 and the European Commission's Ethics Guidelines for Trustworthy AI, and determines their usefulness in practical contexts. Challenges to operationalizing RAI are also cited, including algorithm bias, transparency shortfalls, fragmentation of regulation, and the model-performance vs. ethical-protections trade-off. In addition, the paper suggests a multi-layered model for deploying RAI that incorporates data governance, model accountability, human monitoring, and ethical risk assessment. Using case studies in healthcare, finance, and public services, the paper demonstrates how good AI practices can prevent actual harms and foster trust in automated systems. The results highlight the urgent necessity for harmonized international standards and usable tools to close the gap between values and AI deployment. This piece makes its contribution to the debate by providing actionable recommendations for researchers, policymakers, and practitioners alike who are dedicated to advancing responsible and sustainable AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

--Responsible AI, Ethics, Fairness, Transparency, Governance, Explainability, AI Policy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research delves into the significance of individual data privacy and how personal data has become increasingly crucial. It highlights potential abuses that can arise from the misuse of data and discusses ways to safeguard citizens' personal rights concerning their information. The author examines the historical context of data protection, incorporating perspectives from both global and Indian contexts, along with judicial backing. Additionally, it emphasizes that personal information has evolved into an essential fundamental right and traces the origins of the Digital Personal Data Protection Act, 2023.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Protection, Data Protection, Information Technology, Digital Personal Data Protection Act.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's cultural heritage is a vibrant mosaic of diverse philosophies, beliefs, and practices, unified by a spiritual essence often referred to as the "Hindu spirit." This heritage is deeply rooted in the transformative power of spirituality, exemplified by saint like Sri Ramakrishna, who illuminate the path to divine connection. Core philosophical concepts such as Brahman (the transcendent reality), Atman (the individual soul), and Isvara (the personal God) provide a framework for understanding the universe, while karma (action and consequence) and mukti (liberation) guide ethical and spiritual life. The article highlights India's remarkable ability to synthesize diverse cultural elements into a cohesive identity, with Hinduism's inclusivity fostering tolerance and multiple paths to the divine. Shaped by varied geography and historical interactions with civilizations like those of the Near East and Greece, India's culture has contributed universal concepts like Brahman and Dharma, particularly during the Axial Period (first millennium BCE). Today, this heritage continues to influence global thought, offering timeless lessons in spirituality, ethics, and unity in diversity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian philosophy, Brahman, Atman, Cultural heritage, Spirituality, Hinduism, Unity in diversity, Karma , and Mukti.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Suspicious activity detection

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ai ml

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Creative Commons Attribution 4.0 and The Open Definition

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This paper provides an in-depth exploration of Alternative Investment Funds (AIFs) in India, their classifications, regulatory framework, advantages, risks, and their comparative positioning against traditional mutual funds. The study further delves into the structure, roles, categories, growth trajectory, and performance metrics of AIFs. By examining data from SEBI and NSE and discussing recent trends, the paper emphasizes the future potential of AIFs in India's growing investment ecosystem. It highlights how AIFs are becoming a preferred choice for HNIs and UHNIs seeking diversified and high-return investment options beyond traditional avenues.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alternative Investment Funds (AIFs), SEBI Regulations, Category I AIF, Category II AIF, Category III AIF, High Net Worth Individuals (HNIs), Ultra High Net Worth Individuals (UHNIs), Venture Capital, Hedge Funds, Private Equity, Infrastructure Funds, Real Estate Funds, Mutual Funds, Risk-Adjusted Returns, Portfolio Diversification, Tax Pass-Through, Investment Strategies, Fund Performance Metrics, Indian Financial Markets, AIF Growth Trends

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract The semi-arid region of Western Rajasthan, India, is highly susceptible to the adverse effects of climate change due to its fragile ecological balance, water scarcity, and dependency on rain-fed agriculture. This study aims to assess and spatially map the climate change vulnerability of the region using integrated Remote Sensing (RS) and Geographic Information System (GIS) techniques. Utilizing multi-temporal satellite data (Landsat, MODIS) and climate datasets (CHIRPS, IMD), the research analyzes key indicators such as land use/land cover (LULC) changes, Normalized Difference Vegetation Index (NDVI), land surface temperature (LST), and rainfall anomalies over the past two decades. Socio-economic variables including population density, literacy rates, and agricultural dependency are incorporated to form a composite Climate Vulnerability Index (CVI) using a weighted overlay analysis in GIS. Preliminary results indicate significant environmental degradation, increased land aridity, and rising climatic variability, especially in districts such as Barmer, Jaisalmer, and Bikaner. These areas exhibit high levels of vulnerability due to a combination of natural and human-induced stressors. The resulting vulnerability maps classify the region into distinct zones--Very High, High, Moderate, and Low Vulnerability--which can guide targeted interventions. This study underscores the potential of geospatial technology in climate risk assessment and highlights the urgent need for region-specific adaptation strategies, especially in disaster-prone and ecologically sensitive zones. The findings are expected to support local planners, disaster managers, and policymakers in developing climate-resilient frameworks and achieving long-term sustainability goals (SDG 13 & SDG 15).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Climate Change, Vulnerability Mapping, Remote Sensing, GIS, Western Rajasthan, Semi-Arid, Climate Vulnerability Index (CVI), Drought, Adaptation Planning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a Python-based Network Scanner that enhances network security through port scanning, LAN mapping, and basic intrusion detection. Designed with a user-friendly interface, the tool simplifies device discovery, identifies open ports, and detects abnormal network activity in real time. Experimental results demonstrate efficient performance with minimal resource usage, making it suitable for educational and small-scale enterprise environments. The system balances simplicity and functionality, contributing to accessible and effective network security solutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Network Scanner, Port Scanning, LAN Scanning, Intrusion Detection System (IDS), Python Programming, Network Security, IP & MAC Address Detection, ARP Protocol, UDP Protocol, Scan Detection System (SDS), Multithreading, Real-time Network Monitoring, Cybersecurity Tools, Network Mapping, Vulnerability Detection

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: this study investigates the partial replacement of coarse aggregate with waste rubber and mno slag in m20 grade concrete. The objective is to assess the impact of these alternative materials on the mechanical properties of concrete, including compressive strength, workability, and durability. Experimental tests were conducted on various mix proportions to evaluate the feasibility of using waste rubber and mno slag as sustainable substitutes. The results indicate that incorporating these materials can enhance certain properties of concrete while contributing to environmental sustainability by reducing waste disposal issues. This research provides insights into the potential applications of modified concrete in construction industries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Recycled waste materials, Analysis, Investigation, Research.

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Creative Commons Attribution 4.0 and The Open Definition