DESIGN AND IMPLEMENTATION

Implementing blockchain-based certification systems is pivotal for enhancing the security, transparency, and efficiency of credential verification in academic and professional sectors. This study explores the design and deployment of an NFT-based certificate verification system, leveraging Ethereum blockchain, smart contracts, and decentralized storage (IPFS) to issue, verify, and manage digital credentials. By applying blockchain technology, smart contract logic, and decentralized file systems, this research addresses challenges such as certificate forgery, inefficient manual verification, and limited global accessibility. Key methodologies include the use of Solidity smart contracts for minting NFTs, Web3.js for blockchain interaction, and React.js for user interface development, alongside IPFS for secure off-chain certificate storage. The system is designed to reflect real-world use cases involving students, educational institutions, and verifiers, supporting operations such as certificate issuance, revocation, and verification. Outcomes include instant, tamper-proof verification processes, reduced operational costs, and improved user trust in credential authenticity. By integrating emerging technologies like Web3 and decentralized identity (DID), this research establishes a foundation for scalable, secure, and adaptable certification systems capable of meeting the evolving needs of education and professional validation

The increasing complexity of modern programming environments has created a growing need for intelligent, real-time support systems capable of assisting students and developers in understanding, writing, and debugging code. This project presents the design and implementation of an AI-powered chatbot web application that leverages Large Language Model (LLM)-based Natural Language Processing (NLP) and Remote Code Execution APIs to address programming queries interactively. The system integrates Google’s Gemini API for natural language understanding and JDoodle API for live code execution within a secure, microservicebased architecture. The chatbot provides conversational assistance, real-time code validation, debugging support, and algorithmic explanations through a responsive web interface built with React, TypeScript, Tailwind CSS, and Vite. The backend is implemented using Node.js, Express.js, and MongoDB, with modular microservices for authentication, chatbot intelligence, and code execution, all orchestrated through an API Gateway.This architecture ensures scalability, maintainability, and independent service deployment, while also improving accessibility for users in resource-constrained environments. The system demonstrates how combining LLMs with execution APIs can create a more reliable and contextaware programming assistant than traditional static or rule-based systems. The outcome of this project is a robust, user-friendly, and intelligent chatbot that enhances learning efficiency, developer productivity, and accessibility to programming support, particularly for students in developing regions. It contributes to ongoing research in AI-driven education, NLP, and intelligent tutoring systems, offering a sustainable model for future AIintegrated learning platforms.

The "Design and Implementation of Duty Scheduler for Doctors and Nurses" project introduces a sophisticated system tailored to the specific scheduling challenges faced by healthcare institutions. This innovative system employs advanced algorithms and a user-friendly interface to automate and optimize the intricate task of creating duty rosters for medical staff. Taking into account staff preferences, legal compliance, and workload distribution, the system generates fair and efficient schedules. It offers customization options, real-time updates, and compliance management features to ensure seamless scheduling while improving staff job satisfaction and work-life balance. By reducing administrative burdens and enhancing resource allocation, this project aims to elevate the efficiency and effectiveness of healthcare operations, ultimately enhancing the quality of patient
care

Many elderly individuals face challenges in remembering to take their medications as prescribed, which often leads to health problems. This paper presents the design and implementation of a medical reminder system tailored specifically for the elderly. This system aims to address the challenges faced by the elderly population in adhering to complex medication regimens and timely appointments. The proposed system leverages a combination of hardware and software components to provide timely reminders, medication management features, and emergency contact capabilities. The hardware components include a user-friendly interface, a robust communication module, and sensors for monitoring vital signs. The software component encompasses a user-friendly interface, a comprehensive medication management system, and a secure communication platform. The system is designed to be easily customizable to accommodate individual needs and preferences, ensuring its adaptability to diverse elderly populations. The evaluation of the system demonstrates its effectiveness in improving medication adherence, reducing medication errors, and enhancing overall healthcare management for the elderly.

This project presents the design and implementation of a web-based student marketplace aimed at improving buying and selling activities within an academic environment. The system was developed to address challenges commonly faced by students, such as limited access to affordable goods, lack of organized trading platforms, and trust issues in informal transactions. The marketplace provides a centralized online platform where students can register, list products or services, search for items, and communicate securely with other users. The system was designed using structured system analysis and developed with modern web technologies to ensure efficiency, usability, and data security. Emphasis was placed on user-friendly interfaces and reliable database management to support smooth transactions. The implementation and testing of the system showed that it effectively enhances accessibility, promotes entrepreneurship among students, and reduces the time and effort involved in campus trading activities. The project demonstrates that a web-based student marketplace can significantly improve commerce and interaction within tertiary institutions.

The development of a Cloud-based Healthcare Information System (CHIS) is a significant project aimed at creating a scalable and reliable cloud computing system to optimize clinical outcomes and improve patient care. The project covers the entire software development lifecycle, including requirements gathering, system design, implementation, testing, and deployment. Key features of the system include user authentication, patient management, electronic health records (EHR), appointment scheduling, interoperability, telemedicine capabilities, data analytics, and security measures. Technologies such as HTML5, CSS3, JavaScript, React.js, Angular.js, PostgreSQL, MongoDB, Java, Python, and Node.js are used in the system's development. Cloud computing platforms like Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS) are utilized for hosting. Furthermore, the system uses containerization technologies such as Docker and Kubernetes for more effective deployment and management of application components. Standards and procedures from the healthcare sector, including Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR), are incorporated to ensure flexibility, compatibility, and integrity. Security measures such as access restrictions, audit trails, encryption, and compliance with mandates like the Health Insurance Portability and Accountability Act (HIPAA) are implemented.

This project proposes the design and implementation of a smart meter management system. The system will focus on electricity metering and leverage smart meter technology to collect realtime consumption data. Improvements in metering infrastructure are required due to the growing need for better customer service and energy efficiency. The “Design and Implementation of Smart Meter Management System” project aims to create an efficient and intelligent system for managing energy consumption using smart meters. Smart meters, equipped with advanced sensors and communication modules, enable real-time data collection and bidirectional communication between utility providers and consumers. This smart meter management system has the potential to revolutionize energy management by providing valuable insights into consumption patterns, enabling optimized billing practices, and empowering consumers to make informed choices about their energy use. The system will gather, analyze, and manage smart meter data to improve energy usage monitoring, billing accuracy, and resource optimization.

This project focuses on the design and implementation of an automatic changeover system integrated with contactors and an Automatic Voltage Regulator (AVR) for efficient management of a home solar power system. The system is designed to automatically transfer load supply between the solar inverter, utility grid, and generator in the event of power failure or voltage instability, ensuring uninterrupted power delivery to essential household appliances. The control unit employs electromechanical contactors to achieve seamless source selection, while an AVR maintains stable voltage output to prevent damage to sensitive equipment. A timer/delay relay is incorporated to coordinate the switching process, minimize transient currents, and delay the operation of the alarm siren to prevent false triggers during short interruptions. The project also integrates protective circuit breakers to safeguard the system from overloads and short circuits, improving safety and reliability. The overall design emphasizes efficiency, automation, and simplicity, eliminating the need for manual intervention during power transitions. Testing and evaluation were carried out under various load conditions to verify performance. Results confirmed that the system achieves reliable source transfer, stable voltage regulation, and reduced downtime during source changeovers. The project demonstrates a practical and cost-effective solution for domestic solar power management, promoting energy efficiency and dependable power supply in areas with unstable grid systems.

This study focuses on the design and implementation of a Computerized Crime Reporting and Management System aimed at addressing the inefficiencies associated with manual crime reporting methods. The system provides a digital platform where crimes can be reported, tracked, and managed efficiently. Key functionalities include online report submission, automated case assignment, status tracking, and centralized database storage for crime data. The system also supports real-time communication between citizens and law enforcement agencies, enabling improved responsiveness and transparency. Through the use of secure login mechanisms, role-based access control, and data encryption, the system ensures the confidentiality and integrity of sensitive crime-related information. The implementation process involved system modeling, software development, database integration, and rigorous testing for performance, functionality, and security. Testing confirmed the system’s ability to handle user inputs, protect data, and operate under real-time constraints. The computerized system enhances accessibility, reduces delays in reporting, and allows for effective data analysis, making it a valuable tool for law enforcement agencies. This study demonstrates that digital crime management systems can significantly improve the accuracy, speed, and reliability of crime data handling, ultimately contributing to a more efficient and accountable criminal justice process.

The use of induction motor in various facets of engineering, manufacturing and the production sector to power various equipment have gained stability and thereby creating huge starting current which in turn contributes to the unbalanced loading of network giving rise to high energy and economic loss. This research work, therefore, seeks to reduce the starting current of the connected single-phase induction motor. A smooth and soft start is employed in a single-phase induction motor to eliminate the surge in current and electromagnetic torque during starting. The surge in current and torque are eliminated using soft starter at the time of starting. The soft starter also eliminates the unwanted effect in electric cables and the distribution network. This project work provides an in-depth description of the sentimental and smooth start to an induction motor. The smooth start of the motor is predicted by the firing angle of the TRIAC circuit. The firing angle is delayed during starting and the delay angle reduces as the motor picks up to speed. This proposed technique provided reduced voltage at the starting and the rated voltage when themotor is up to speed. By using soft starter, the performance and efficiency of the induction motor is improved and it also improves the load torque characteristics. This project consists of 6anti-parallel SCR connected in each series with an induction motor to the main supply, where into each phase. When starting the firing angle is heavily delayed by receiving delayed triggering pulses. The supplied voltage is gradually increased, and the torque also in same manner. By this process the inrush current is drastically reduced, making the motor start smoothly. The induction motor of0.56KW, frequency of 50Hz, maximum voltage 230V, receives little or no surge using the soft starter device. The start up ramp is about 4s to 7s, depending on the power of the induction motor. The firing angle is gradually decreased from 80˚ by interval of 20˚ until 0˚ max of the full half