Volume 13 | Issue 1 |

 Abstract

This research paper explores the critical role of the agriculture sector in Maharashtra, India, where it significantly influences the state's economy and sustains a majority of the population. With 82.47% of the cultivated land reliant on rain-fed dry land, the paper highlights the challenges faced by small and marginal farmers, particularly in accessing capital and essential services. The impact of climate change on agriculture in the region is addressed through the Climate Change Action Plan initiated by the Government of Maharashtra, aimed at integrating climate resilience into the state's development strategies. The World Bank's Nanaji Deshmukh Krishi Sanjivani Project, launched in 2018, is examined as a climate-friendly initiative designed to help farmers adapt to climate-related challenges. The project encompasses financial assistance, capacity building, and agricultural advisory services, targeting economic upliftment and sustainability in farming practices. Through an analysis of the project's implementation phases and its overarching objectives, this paper underscores the necessity of adaptive strategies in agriculture to ensure long-term viability and improved livelihoods for farmers in Maharashtra.

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 Keywords

PoCRA, Climate Change, Agriculture Scheme, financial assistance

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The increasing demand for sustainable energy has driven the exploration of innovative solutions to generate renewable energy. This research aims to harness energy from vehicular movement using innovative technologies embedded in speed breakers to generate renewable electricity. By utilizing piezoelectric materials, rack-and-pinion mechanisms, and hybrid energy systems, the platform optimizes energy conversion for powering urban infrastructure. The integrated IoT-based monitoring system dynamically adjusts to traffic density and environmental factors, ensuring efficient energy usage. This sustainable energy solution not only addresses the rising energy demands but also supports smart city initiatives by powering streetlights, IoT devices, and other low-voltage applications. Designed with scalability and cost-effectiveness in mind, the platform provides a renewable, adaptive, and eco-friendly alternative to conventional power systems, promoting energy independence and reducing environmental impact. Its potential lies in creating self-sustaining urban ecosystems while aligning with global sustainability goals.

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 Keywords

Sustainable Energy, Piezoelectric Sensors, Speed Breakers, Energy Harvesting, Rack-and-Pinion Mechanism, Renewable Energy Systems, IoT Integration.

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Effective time management and cost efficiency are vital issues in small-scale commercial construction projects, particularly in swiftly expanding cities such as Pune. This research analyzes the complex connection between time lags and cost fluctuations, investigating particular methods to reduce delays and improve cost-effectiveness. The research assesses the applicability of various modern and traditional methodologies, including AI, Lean Construction, Six Sigma, BIM, Critical Path Method (CPM), and Program Evaluation and Review Technique (PERT), to small-scale projects through analysis. It underscores the significance of incorporating advanced tools for bigger projects while stressing more straightforward, budget-friendly methods for smaller initiatives. Using case studies and unbiased data, this study establishes a thorough framework that provides stakeholders with actionable advice for reducing costs via efficient time management. The research highlights the importance of a flexible, cohesive optimization approach, focused on achieving prompt project delivery, resource effectiveness, and budget efficiency, thereby offering significant insights to construction project management.

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 Keywords

Cost optimization, Time management, Construction strategies, small- scale commercial project. Time-delay optimization, Adaptive project management strategies.

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The most often utilized building material worldwide is cement concrete. Because of its good workability and ability to be shaped into any shape, it is widely used. Cement concrete has extremely little resistance to crack, and a relatively low tensile strength. Concrete's durability and toughness can be altered by appropriately adjusting its constituents, such as the cementitious materials such fly ash, rice husk ash and silica fumes etc and different fibers as steel, coir, synthetic fibers etc. When compared to glass and polypropylene fibers, steel fibers have the highest strength, according to numerous research studies In this study, the effects of adding three different volume fractions of steel fiber in conventional concrete and its fresh and hardened properties were examined after curing of 14 days and 28 days. When compared to conventional concrete, it was found that SFRC specimens show improved qualities. The optimum mix from this study in terms compressive strength, split tensile strength, flexural strength and workability is having the volume fraction 3%.

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 Keywords

Compressive strength, tensile strength, flexural strength, Steel fibers, Steel fiber reinforced concrete.

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Advertisements are a great way to make people aware of products, issues, and more. Consumers frequently consider traditional advertising channels like TV, magazines and newspapers to be outdated in today's world. People are turning to newer types of media to communicate with one another and share information as a result of the development of digital technology and the rising popularity of social media websites like Facebook, Twitter, and Instagram. Awareness the advertising environment is changing as advertisers use these digital platforms to reach their target audiences through web, mobile, and native advertising. Emerging companies using different channels to market their goods and services, including search engines, display ads, social network ads, and email marketing, online advertising has emerged as the industry standard. On the basis of consumer information and online behavior, online advertising enables highly targeted and personalized ads. In order to serve ads that are relevant and customized to specific customers, advertisers can employ data analytics and tracking technology to gather information about consumers' demographics, interests, and browsing history. Personalization on this level has a significant influence on consumer behavior and can increase engagement and conversion rates. As technology advances and people become more comfortable with digital devices, they prefer to use new forms of media. Media options during the contemporary age. The paper discusses about new advertising methods in the digital age, including online, mobile, and native advertising. It describes how advertisers are using innovative technology to transform advertising.

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 Keywords

Digital Media, Digital advertising, Mobile Advertising, Social Media Advertising.

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knowledge and self-care regarding anaemia among antenatal women.

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Life of women has undergone a tremendous change in recent years and they are playing a catalytic role in various spheres and in wealth creation for economy. Contribution of women since the initiation of this world are significant, they supported both their family and nation by their valuable efforts. As the era transformed, we shift towards entrepreneurial activities for creating social changes in the nation by creating innovation in various fields, women entrepreneurs are also motivated to take keen interest in doing something which are not done in ordinary course of business by creating their new venture. The need of hour is to empower them more and more by encouraging them to choose their career in entrepreneurial era, going beyond the traditional career path and contributing towards economic growth and development of nation. The present study purpose is to explore the current trends of women entrepreneurs in India, by analyzing their contribution and participation in current time. What are the factors which are encouraging them to take keen interest in choosing entrepreneurship as a career path like various schemes of government, entrepreneurship development programs, skill enhancement trainings and various incentives and support provided to women entrepreneurs, which motivate them to be independent by doing something by their own and also which types of problem they are facing while establishing their new venture all these paramount issues are addressed through this study. As the present time is an era of entrepreneurship the need is to develop entrepreneurial spirit among the women entrepreneurs to ensure accelerated growth and a successful step towards the aim of Viksit Bharat.

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 Keywords

Entrepreneurial spirit, Women Entrepreneurs, Economic Growth, Viksit Bharat

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Videos and images are rich sources of valuable information, combining visuals, sounds, and textual elements to convey critical details. In videos, dynamic content such as moving objects and on-screen text often holds essential information, while images frequently embed textual data within their visual content. However, extracting specific text from these multimedia formats is a challenging task. Traditional manual methods, such as pausing videos and editing images, are time-consuming and inefficient, and the extracted text is often not readily editable. To address these challenges, advanced Deep Learning techniques integrated with cutting-edge Optical Character Recognition (OCR) technologies provide a robust solution. Tools such as Keras_OCR and PyTesseract employ deep learning models and OCR algorithms to accurately recognize and convert text from video frames and images into machine-readable, editable formats. This approach not only automates the text extraction process but also enhances accuracy and efficiency. By leveraging these technologies, users can seamlessly extract, save, and edit text-rich content from multimedia sources, making it a valuable resource for applications in education, research, and analysis. This study highlights the transformative potential of combining deep learning with OCR technologies to unlock the hidden textual information in videos and images, enabling greater access to knowledge in the digital age.

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 Keywords

Deep Learning, Optical Character Recognition (OCR), Keras_OCR, PyTesseract, Multimedia Data

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Renewable energy efficiency depends on precise solar radiation estimation together with agricultural output and sustainable environmental practices. The research establishes an innovative hybrid method for solar radiation forecasting by combining live meteorological data including temperature as well as humidity and wind speed metrics and with analytical sky visuals. The system uses advanced image recognition methods for cloud coverage determination and quantifies sunlight obstruction while applying sine altitude calculations for solar geometry analysis. The analyses from observed data merge with established empirical models to produce accurate solar radiation forecasts. Sunlight blockage statistics along with sky image processing results solar geometry parameters and solar radiation predictions appear as the system output data. Standard solar datasets and constants provide confirmation of both accuracy and the system's reliable performance. The research demonstrates how time-tested solar prediction approaches merge effortlessly with innovative computational systems to create an easy-to-use interface for solar energy users. Our upcoming strategy will use mobile platform deployment to extend accessibility while enabling users to enhance their energy planning and participate better in sustainability initiatives.

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 Keywords

Solar Radiation, Hybrid Modeling, Image Processing, Meteorological Data Integration, Solar Geometry.

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The fast-growing population needs more healthcare professionals than rural and government hospitals can provide for quality care. Our healthcare chatbot powered by AI helps patients receive expert medical support by connecting them through easy-to-use intelligent responses. The service helps people understand their symptoms, predict what might be wrong with them, and get safety tips, so they can make better choices for their health. The system operates through three key functionalities: There are three main tasks this system does: (1) Getting health symptoms from users and matching them to known conditions in its expert database; (2) Using powerful AI that has learned from medical records to predict likely conditions and help users understand them; and (3) Giving users safety advice and letting them know when they must visit a healthcare professional for more help. If the chatbot needs additional information to answer a question it fetches that data from search engines to deliver correct results. Through smart AI technology the system supports doctors with precise symptom interpretation while reducing mistakes and expands patient access to quality medical guidance to better healthcare results.

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 Keywords

Artificial Intelligence (AI), Healthcare Professionals, Medical Records, Smart AI Technology, Expert Database.

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