The growing demand for student accommodations has led to inefficiencies in finding reliable housing near educational institutions. "Campus Heaven" aims to bridge this gap by leveraging AI and ML to provide a seamless accommodation and service hub for students. This paper explores the need, architecture, methodologies, and implementation details of the proposed system. The system integrates machine learning for sentiment analysis on reviews, an AI chatbot for assistance, and a comprehensive services module for student necessities. Key findings indicate that the platform improves user satisfaction by offering reliable service options and fostering community interaction among students. However, challenges related to user adoption and data privacy are noted. Future enhancements could include expanding service offerings and improving community engagement features

This paper explores the design and development of a comprehensive digital platform for peer to peer book exchange platform aimed at fostering a community driven environment for sharing and exchanging books. The platform is intended to provide users with a seamless and secure way to trade books, enhancing accessibility to a wide variety of reading materials. Key features of the platform include a user-friendly interface design and robust user verification and rating systems. Through extensive user surveys and iterative prototyping, this study identifies the critical requirements and preferences of potential users, ensuring the platform meets their needs. The paper also discusses the technical challenges encountered during development and the solutions implemented to address them. By promoting the reuse and exchange of books, the platform aims to contribute to sustainable reading practices and create a more connected literary community. Through its innovative approach, the platform not only facilitates book exchanges but also fosters a culture of sharing knowledge and building connections among avid readers

Wireless Sensor Networks (WSNs) have emerged as a powerful tool for environmental monitoring, offering scalable and cost-effective solutions for tracking environmental parameters such as air quality, soil moisture, and temperature. This paper presents a comprehensive overview of WSNs, highlighting their architecture, key components, applications, and performance metrics. A case study is included, presenting experimental results that evaluate the effectiveness of WSNs in various environmental settings. The paper discusses energy efficiency, scalability, and data accuracy, while also addressing challenges and proposing future directions for WSN technology in environmental monitoring

Cross-layer design in Mobile Ad-hoc Networks (MANETs) refers to the intercommunication and exchange of information across different protocol layers to improve overall network performance. In a typical networking protocol stack, each layer operates independently, but in MANETs, the traditional layer-by-layer communication model is often not enough due to the dynamic nature of wireless communication, limited resources, and fluctuating network conditions. Therefore, cross-layer design has become a vital research area to optimize the efficiency and performance of MANETs

Biometric systems are increasingly replacing traditional password and token based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. The two most critical attacks to biometric systems, namely, attacks to the user interface and template databases are discussed here. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is the research topic in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design.

This study examines the existing legislative framework in India that safeguards the interests of online customers in light of the rapidly expanding e-commerce sector and its impact on consumer preferences for online shopping. Electronic commerce platforms allow for Internet-enabled trade in unprecedented ways. One of the main drivers underlying e-commerce growth is the rise in the number of individuals using the Information and Communication Technology (ICT) as a platform to trade.. This article analyses the present trends in consumer law in e-commerce in India and the challenges faced in protecting the consumers in the virtual online space..Important conclusions include the following: cash on delivery is the preferred method of payment for online purchases; website content and efficient customer support services foster consumer confidence; and safe and dependable systems are critical to the success of e-business firms.. In addition to elements like website information, customer service, warranty, security, privacy, and redressal, laws protecting consumer rights in e-commerce also have an impact on consumers' confidence. Expanding e-commerce appears to be promising given the strong legal framework and consumer protection policies in place. The findings add to the body of knowledge on e-commerce and the protection of consumer rights by clarifying the critical elements influencing customer loyalty and trust as well as providing an insightful viewpoint on e-consumer protection in the Indian context with wider implications.

Birds are important to continue ecologic circle, especially in food chain. For the last three centuries, industrial developments and anthropological effects have degraded habitats and caused the natural balance to deteriorate. Approximately 200 bird species had been affected directly or indirectly from these negative changes. The present investigation was carried out to document the avifauna in and around the Agadilake located 29 km form Chandrapur head quarter of Maharashtra State from June 2023to May 2024in which 45 species of birds were recorded of 10 different orders and 25 families during the study. Among the recorded species 28 were resident, 9 were resident migrant and8 were winter visitor.

Because of the agriculture sector’s vital role in global food production and sustainability, fruit quality is critical. Traditional methods of fruit quality evaluation are time consuming and subjective, resulting in inefficiencies in the supply chain and significant food loss. Our research provides a novel solution. By evaluating fruit photos, our algorithm detects fresh versus sub optimal quality fruits using cutting-edge machine learning techniques. Our model correctly identifies ripeness, flaws, and deformities across multiple fruit varieties using deep learning with CNNs at its heart and transfer learning. Implementing this technology reduces food waste and promotes sustainable agriculture by streamlining fruit quality testing. It helps farmers, distributors, and consumers by guaranteeing that only the best fruits make it to market. Our study provides a cost effective, environmentally friendly, and long-term solution

ChatGPT, an AI language model, has gained significant attention as a tool for learning across diverse fields. This research paper investigates the perception of ChatGPT’s effectiveness in learning, focusing on a population survey conducted to assess its utility, limitations, and overall user satisfaction. The study draws on data from a sample population of participants, encompassing diverse demographics. Findings reveal that while ChatGPT is widely perceived as an effective learning aid, its effectiveness varies depending on the user’s educational background, technological familiarity, and subject-specific needs. Key benefits highlighted include accessibility to information, real-time responses, and adaptability in explaining complex concepts. However, limitations such as occasional inaccuracies, lack of deep contextual understanding, and over-reliance by users were also noted. These findings underscore the importance of improving AI tools to address nuanced learning needs. Furthermore, the study highlights demographic variations in perceptions, with younger users exhibiting higher satisfaction levels compared to older groups. The study concludes that ChatGPT has the potential to transform modern education and self-directed learning, provided its limitations are mitigated and it continues to evolve to meet the needs of diverse learners.

Social media has changed how people interact and behave in society. It allows individuals to stay connected across distances and maintain relationships. It also acts as a platform for raising awareness and supporting movements like #MeToo. People use it to learn new skills, gain knowledge, and express their creativity. However, its effects are not entirely positive. Overuse of these platforms has reduced face-to-face communication and weakened personal connections. Many users experience anxiety and low confidence due to constant comparisons with others. The spread of false information has led to confusion and division among groups. Online harassment has caused emotional harm, while concerns about privacy and data misuse continue to grow. This paper studies how social media influences behaviour and examines its benefits and challenges. It highlights the need for responsible usage and better strategies to reduce its negative effects