Abstract: In this project, an attempt is made to analyze and design a multi-storey building (G+3, residential building) using STAAD PRO software. For the analysis and design of the multi-storey building, the possible loads—such as dead load, live load, and wind load—are considered for static analysis. All 2D work is done using AutoCAD, while the analysis and design are carried out in STAAD PRO. This work aims to demonstrate the variation in reinforcement for a similar type of structure with the same parameters but using different types of concrete grades

Abstract: This project presents a comprehensive web-based healthcare platform designed to streamline access to medical services and enhance patient-provider interactions. Utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js), the platform offers key features such as secure patient record management, appointment scheduling, and reliable health information resources. It incorporates real-time data handling, intuitive navigation, and secure authentication, ensuring a seamless user experience. By addressing gaps in the healthcare system, the platform aims to improve efficiency, transparency, and accessibility, ultimately benefiting both patients and healthcare providers through enhanced communication and service delivery

The rising concern over environmental sustainability has led to widespread research on sustainable replacements in the field of construction materials. This study evaluates the possibility of partially replacing conventional ordinary portland cement and aggregates in concrete with sustainable materials while preserving structural integrity and performance. Various alternative materials, as well as industrial by-products and replacements were assessed for their effects on mechanical properties such as compressive strength, tensile strength, and durability etc. various test are to be conducted by the author in this paper . The study employed a comparative investigation of different mix designs including sustainable materials to determine their suitability. Results indicated that certain replacements, such as fly ash, silica fume, and recycled aggregates exhibites admirable strength characteristics and environmental benefits. Additionally, we focusses on highlighting the role of IS codes in regulating material properties and construction practices. The author finds the potential for sustainable materials in concrete production along with reducing carbon emissions and resource depletion while maintaining structural performance and lifespan.

Abstract: This paper presents the development of a local online fruits and vegetables ordering platform, addressing the need for fresh produce delivery in urban and semi-urban areas. The project focuses on front-end development to ensure an in-tuitive user experience. The research highlights the technologies used, challenges encountered, and solutions implemented to enhance usability and performance.

This title accurately reflects the core objectives of the project creating a tool that automates the penetration testing process and generates detailed reports [4]. It encapsulates the primary focus of the project, which is to enhance the efficiency of penetration testing through automation, while ensuring that the resulting reports provide valuable insights into system vulnerabilities and security weaknesses. The tool will streamline the testing procedure, making it accessible to both experienced security professionals and those new to penetration testing.

Software refactoring is fundamental for maintaining both code quality and performance, particularly in extensive systems subject to changing demands. Conventional refactoring techniques are frequently manual and labor-intensive, constraining their scalability. This study investigates artificial intelligence (AI) methodologies for automating the software refactoring process, employing machine learning (ML) strategies to identify inefficient coding patterns and propose optimal restructuring methodologies. We introduce an intelligent refactoring instrument that incorporates deep learning models to evaluate software complexity and improve maintainability. The effectiveness of AI-driven refactoring is assessed based on reductions in software complexity and enhancements in developer productivity. Our results indicate that machine learningfacilitated automated refactoring considerably improves software maintainability while lessening technical debt.

Lozenges are solid, flavored medicated dosage forms designed for slow dissolution in the oral cavity, offering both localized and systemic drug delivery. They provide a convenient alternative to conventional tablets and syrups, enhancing patient compliance, especially in pediatric and geriatric populations. This study focuses on the formulation and evaluation of medicated lozenges using different pharmaceutical excipients to optimize drug release, stability, and organoleptic properties. Lozenges were formulated using various base materials such as sucrose, sorbitol, and hydrocolloids, along with active pharmaceutical ingredients (APIs) targeting conditions like sore throat, cough, or fungal infections. The formulations were developed using the molding, compression, and heating methods to achieve desired characteristics. Excipients such as sweeteners, flavors, and binders were incorporated to enhance palatability and stability.The prepared lozenges were subjected to extensive evaluation, including hardness, friability, weight variation, drug content uniformity, dissolution profile, and stability studies. Results indicated that the optimized formulation exhibited adequate mechanical strength, uniform drug distribution, and a controlled release profile, making it suitable for therapeutic applications. The study concludes that lozenges provide an effective and patient-friendly drug delivery system, particularly beneficial for treating localized oral and throat infections. Further research can explore advanced formulation techniques and novel excipients to enhance the efficacy and patient acceptability of medicated lozenges.