Volume 13 | Issue 5 |

 Abstract

Artificial Intelligence (AI) has revolutionized various industries, and its impact on the recruitment process has been profound. AI-driven hiring systems enhance efficiency, candidate experience, and data-driven decision-making, offering organizations the ability to streamline talent acquisition. AI facilitates automation in resume screening, interview scheduling, and candidate assessments, reducing biases and improving hiring outcomes. However, the integration of AI in recruitment also brings ethical concerns, particularly regarding data privacy, algorithmic bias, and transparency. This paper explores AI's role in recruitment, the benefits it offers, ethical concerns, and its future potential, supported by academic research and real-world applications.

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 Keywords

Artificial Intelligence (AI), Recruitment, Hiring, Talent Management, Screening, Predictive Analytics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For a country like India, where democracy is the bedrock of all governing systems, governance must be inclusive and heavily influenced by citizen participation. In a democracy like ours, an accountable and transparent governing system necessitates the participation of citizens at all levels. People's participation, on the one hand, can assist the government in formulating better policies that can then be communicated to the public and implemented effectively. Citizens will be more likely to participate in the mainstream political process if government policies are inclusive and people-friendly. As a result, whether people participate directly, such as by running for office, or indirectly, such as by voting or being a part of the election process, the government is strengthened and more people-friendly policies are implemented. As a result, good governance must be viewed as a two-way process: on the one hand, the government must ensure that good governance values such as accountability and transparency are considered when formulating policies, and on the other hand, citizens must participate in the governance process in order to improve it. Election is the process by which we elect our representatives for forming government. India is the biggest democracy in the world. A free and fair election is the backbone of a healthy democracy. Malpractices in the elections distort the political, social, and economic outcomes in addition to distorting the quality of representation. Elections are an important part of democracy, and excellent elections increase the political legitimacy of the leadership. This is emphasized in the Inter-Parliamentary Council's (IPC) 'Declaration on Criteria for Free and Fair Elections,' which begins: "The government's authority can only come from the people's will, expressed in authentic, free, and fair elections held at regular intervals on the basis of universal, equal, and secret suffrage."

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 Keywords

Democracy, Good-governance, Inter-Parliamentary, Malpractices

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

e-commerce,user,product sentiment,reviews ui,modeling, encoder , customer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women's safety in public spaces should not calculate on chance or introductory security styles traditional tools like CCTV cameras and details generally respond after an incident happens they do not stop problems from being these styles constantly warrant the capability to predict risks in real time this creates a big gap in safety plans that concentrate only on replying as technologies like artificial intelligence machine knowledge computer vision and the internet of goods meliorate snappily were moving toward smarter security systems these new systems can snappily spot possible troubles notice unusual conduct and automatically start safety procedures using these tools makes safety measures more flexible and quick to respond they can advise police and other askers right down indeed helping to avoid detriment before it occurs this composition introduces the a powered women's safety analytics system this system is designed to learn from its surroundings understand gets patterns and take fast safety conduct a pivotal part of this system is its capability to fete gender through deep knowledge this helps descry strange trends like a woman alone in a busy area or an unlooked-for crowd forming which could gesture a safety concern the system also uses special discovery styles like autoencoders and one- class SVMs along with disguise estimation tools analogous as open disguise and disguise net these tools anatomize how people move and stand they can identify movements that might mean someone is in trouble or feeling uncomfortable allowing for quick help unlike aged systems that need people to oversee them all the time this ai predicated system improves trouble discovery and waves up contact with police it also has a new point gesture grounded SOS signals sometimes women in pitfall can not press a fear button or make a call the system can recognize specific moves body signals or voice cues that show torture deep knowledge algorithms trained to descry urgency in speech can shoot cautions automatically indeed without physical contact this provides a quick and hands-free way to call for help the system also uses prophecy tools that anatomize formerly crime data cover current situations and produce heatmaps of risks this helps authorities see implicit troubles before problems be insulation and fairness are truly important particular data is kept safe with encryption and the system is erected to avoid bias its thing is to meliorate safety without violating individual rights or insulation.

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 Keywords

Sentiment analysis, partitioning dataset, parallel processing, combining results.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Automated Food Recognition and Personalized Health Recommendation System combines AI-driven food recognition and nutritional analysis to provide users with tailored health recommendations. By leveraging Google Gemini API and user input, the system accurately recognizes food items, calculates calorie intake, and offers personalized diet and fitness suggestions. The project addresses the challenges of managing dietary habits and fitness by integrating advanced image recognition, user-specific data, and calorie estimation in a user-friendly application. This innovative approach contributes to health management, helping individuals maintain a balanced lifestyle.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food Recognition, Calorie Estimation, Personalized Health Recommendations, AI in Nutrition, Diet Management, Fitness Insights.

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Creative Commons Attribution 4.0 and The Open Definition

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As global supply chains become increasingly complex, there is a rising dependence on predictive analytics for accurate demand forecasting. Traditional forecasting models based solely on historical data and statistical methods often do not capture volatility in the market, changing consumer behavior, and disruption in supply chains. Predictive analytics, powered by Machine Learning, artificial intelligence, and Big data analytics, allows organizations to enhance the accuracy of demand forecasting, streamline inventory management. The paper provides a literature review on synthetic predictive analytics methods, with emphasis on machine learning models, big data frameworks, and hybrid techniques for demand forecasting. Additionally, case studies of real-time applications across domains, including retail, e-commerce, and manufacturing, are explored to illustrate how predictive analytics can effectively reduce risks and improve supply chain performance. The research also looks into implementation challenges such as data quality, model interpretability and integration to existing enterprise systems. The results demonstrate the high-impact potential of predictive analytics on more extreme reactivity in contemporary SCM, and propose directions for future research to close the identified gaps

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 Keywords

Predictive analytics, demand forecasting, supply chain management, machine learning, artificial intelligence, big data analytics, inventory optimization

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores how plastic weaving, as a sustainable craft, can shape community attitudes and behaviors regarding plastic waste and environmental stewardship. It investigates how hands-on crafting can enhance awareness, engagement, and proactive actions against plastic pollution. By promoting collaborative crafting efforts, it aims to strengthen community ties and foster a shared commitment to sustainability. The research provides support to artisans by encouraging them to explore a variety of patterns using different types of plastic waste. This exploration not only enhances their creative expression but also aligns with sustainable practices. The study also keeps artisans informed about emerging market trends, particularly regarding color combinations and product diversity. This knowledge empowers them to create items that resonate with consumer preferences while contributing to waste reduction and promoting eco-friendly practices.

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 Keywords

Plastic weaving, Sustainable craft, Community attitudes, Plastic waste, Environmental stewardship, Hands-on crafting, Plastic pollution

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Creative Commons Attribution 4.0 and The Open Definition

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Urban water bodies in India, particularly in rapidly expanding cities such as Mumbai, are confronting a significant challenge: the unregulated discharge of untreated sewage into rivers and lakes. This issue extends beyond mere infrastructural inadequacies in keeping pace with population growth; it also encompasses inadequate urban planning, ineffective enforcement of regulations, and a general lack of public awareness. Once vibrant ecosystems, the Mithi River and Powai Lake have deteriorated into severely polluted water bodies, primarily due to illegal sewage discharges, contaminated stormwater runoff, and insufficient treatment facilities. This review paper examines strategies to mitigate sewage ingress. It synthesizes a diverse array of literature, real-world case studies, and technical approaches that have been implemented in various contexts. Solutions such as interceptor chambers, hydro-brakes, and the rerouting of dry weather flows are analyzed not only as engineering solutions but also within a broader framework that emphasizes community engagement and policy reform. The paper integrates insights from international best practices alongside Indian guidelines to identify effective strategies, shortcomings, and areas for improvement. A significant conclusion drawn from this review is that, despite the availability of technological solutions, their incorporation into urban planning and regulatory enforcement remains inadequate. Decentralized treatment systems, while promising, are still underutilized. By merging technical expertise with administrative and social considerations, this paper advocates for a more comprehensive and collaborative approach to addressing urban sewage pollution. The findings not only support the planning phase of the author's dissertation but also aim to contribute to larger initiatives such as Swachh Bharat Abhiyan and Namami Gange, providing actionable insights for the enhancement of urban water quality and public health.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urban Water Pollution, Interceptor Chambers, Stormwater Drainage, Mithi River, Powai Lake

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education is a process for preparation of our life. This preparation for life has been done smoothly with the help of teacher. Today everybody is more conscious towards education. One does not seem to be satisfied on comprising with his aims and ambitions of life. This is possible only where one does have a lot of creative thinking, different types of thinking and imagination. Education system around the world is under pressure to use the digital technology to teach students the Knowledge and skills they need in present scenario. Teacher and teaching in a changing world describes the redial implications, the information and the communication technology have for conventional teaching and learning.it predicts the transformation of teaching-learning process and the way teachers and learners gain access to knowledge and information. Teachers and learners will be developing thinking. No one survive their life without developing the thinking ability.

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 Keywords

Critical thinking, Education system

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Creative Commons Attribution 4.0 and The Open Definition

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Animal intrusion refers to the unauthorized presence of animals in areas such as farms, forests, or urban zones, often leading to damage, safety risks, or property loss. These incidents, frequently caused by wild or domestic animals, necessitate rapid and reliable monitoring systems. The integration of Artificial Intelligence (AI) has greatly enhanced these systems by improving accuracy, speed, and automation in surveillance. Machine Learning (ML) and Computer Vision (CV) approaches enable automatic detection and monitoring of animal movements via camera feeds or sensor data, assisting in wildlife protection and security measures. This study explores a deep learning-based approach to detect animal intrusions in diverse outdoor environments. Models like YOLOv5 and EfficientDet, trained using PyTorch and fine-tuned for real-time performance, are evaluated using key metrics such as 2 accuracy, precision, recall, F1-score, and mean Average Precision (mAP). Among the tested models, YOLOv5 achieved the highest accuracy, with a mean mAP of 75.7%, indicating strong real-time detection capabilities. The findings confirm that object detection models based 1 on deep Convolutional Neural Networks (CNNs) are highly effective in identifying both wild and domestic animals, supporting better wildlife monitoring and security systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, CNN, YOLOv5, Ef icientDet, Object Detection, Real-time Surveillance, Animal Classification, Intrusion Detection, Computer Vision

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Creative Commons Attribution 4.0 and The Open Definition